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78 events found

Content provider: Australian BioCommons  or QCIF  or Instats 

  • Introduction to Bayesian Statistical Modelling with Rosina Savisaar, Mondego Science

    16 January - 13 February 2025

    Introduction to Bayesian Statistical Modelling with Rosina Savisaar, Mondego Science https://dresa.org.au/events/introduction-to-bayesian-statistical-modelling-with-rosina-savisaar-mondego-science This 5-day workshop provides an intuitive hands-on introduction to statistical modelling, viewed from the Bayesian perspective. The course starts by covering the very basics of what a model is, building up to fairly sophisticated models by the last session (for example, predicting COVID-19 outcomes from biomarker data). An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-16 02:00:00 UTC 2025-02-13 05:00:00 UTC Rosina Savisaar, Mondego Science Instats info@instats.org [] [] [] open_to_all []
  • Using ChatGPT for Advanced Data Analysis 4.0 [Europe/Asia] with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana

    10 - 12 February 2025

    Using ChatGPT for Advanced Data Analysis 4.0 [Europe/Asia] with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana https://dresa.org.au/events/using-chatgpt-for-advanced-data-analysis-4-0-europe-asia-with-peter-gruber-faculty-of-economics-usi-universita-della-svizzera-italiana This 3-day workshop shows participants how to use ChatGPT for statistical analysis without having to use a statistics program or writing a single line of code. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests, and data visualisation. Special emphasis is placed on understanding the workings and limits of AI models, on the choice of the appropriate [i]mode[/i] and model and on assessing the output. The course also reflects on implications of AI for data analysis and the academic research process more generally. 2025-02-10 19:00:00 UTC 2025-02-12 23:00:00 UTC Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana Instats info@instats.org [] [] [] open_to_all []
  • Time Management and Productivity Hacks for Researchers with Lydia Bals, School of Business, University of Applied Sciences Mainz

    10 - 12 February 2025

    Time Management and Productivity Hacks for Researchers with Lydia Bals, School of Business, University of Applied Sciences Mainz https://dresa.org.au/events/time-management-and-productivity-hacks-for-researchers-with-lydia-bals-school-of-business-university-of-applied-sciences-mainz This two-day workshop provides essential strategies for effective time management and productivity tailored specifically for academic researchers, addressing common challenges faced in balancing research, teaching, and administrative tasks. Participants will familiarize themselves with practical (AI) tools such as ChatGPT and innovative techniques to enhance their research efficiency and achieve a more sustainable work-life balance. 2025-02-10 20:00:00 UTC 2025-02-12 00:00:00 UTC Lydia Bals, School of Business, University of Applied Sciences Mainz Instats info@instats.org [] [] [] open_to_all []
  • Using AI for Text Analysis: An Introduction with Seraphine Maerz, School of Social and Political Science, University of Melbourne

    11 February 2025

    Using AI for Text Analysis: An Introduction with Seraphine Maerz, School of Social and Political Science, University of Melbourne https://dresa.org.au/events/using-ai-for-text-analysis-an-introduction-with-seraphine-maerz-school-of-social-and-political-science-university-of-melbourne This one-day workshop provides a basic introduction to using artificial intelligence for text analysis. Tailored for researchers across a variety of social and health science fields, participants will gain practical skills in building text corpuses, topic modeling, and using ChatGPT, Copilot, and other Large Language Models (LLMs) in R, while addressing ethical considerations and validation techniques for AI-driven research. 2025-02-11 03:00:00 UTC 2025-02-11 09:00:00 UTC Seraphine Maerz, School of Social and Political Science, University of Melbourne Instats info@instats.org [] [] [] open_to_all []
  • Estimating Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    11 - 12 February 2025

    Estimating Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/estimating-dose-response-functions-in-stata-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr-bc5f7852-fcd6-41b2-a59d-ec12a1bfe259 This seminar equips researchers with the knowledge and skills to identify and estimate dose-response functions using Stata, offering an in-depth exploration of two prominent approaches for estimating dose-response functions: the Generalized Propensity Score (GPS) method and the Regression-adjustment-based Dose-Response Models (CTREAT). These methods are widely used in the field of causal inference with continuous treatment (or exposure) and have applications in various domains such as medicine, social sciences, and economics. The seminar includes practical exercises, a Q&A session, and post-seminar support, offering participants a deep understanding of dose-response functions and their application in various research fields. An official Instats certificate of completion is provided along with 1 ECTS equivalent points. 2025-02-11 22:00:00 UTC 2025-02-12 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []
  • Estimating Causal Effects: Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    11 - 12 February 2025

    Estimating Causal Effects: Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/estimating-causal-effects-dose-response-functions-in-stata-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar equips researchers with the knowledge and skills to identify and estimate dose-response functions using Stata, offering an in-depth exploration of two prominent approaches for estimating dose-response functions: the Generalized Propensity Score (GPS) method and the Regression-adjustment-based Dose-Response Models (CTREAT). These methods are widely used in the field of causal inference with continuous treatment (or exposure) and have applications in various domains such as medicine, social sciences, and economics. 2025-02-11 22:00:00 UTC 2025-02-12 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []
  • Vector Generalized Linear and Additive Models with Thomas Yee, Department of Statistics, University of Auckland

    12 - 14 February 2025

    Vector Generalized Linear and Additive Models with Thomas Yee, Department of Statistics, University of Auckland https://dresa.org.au/events/vector-generalized-linear-and-additive-models-with-thomas-yee-department-of-statistics-university-of-auckland This workshop provides a comprehensive introduction to Vector Generalized Linear and Additive Models (VGLMs and VGAMs), equipping researchers with advanced skills for analyzing complex data structures often encountered in the social, health, and natural sciences. Participants will gain practical experience using the VGAM package in R for data analysis, enhancing their ability to apply sophisticated yet easy-to-use methods for their own research projects. 2025-02-12 10:00:00 UTC 2025-02-14 13:30:00 UTC Thomas Yee, Department of Statistics, University of Auckland Instats info@instats.org [] [] [] open_to_all []
  • Multilevel and Growth Curve Models in R and Stata with Department of Epidemiology and Public Health, University College London

    12 - 14 February 2025

    Multilevel and Growth Curve Models in R and Stata with Department of Epidemiology and Public Health, University College London https://dresa.org.au/events/multilevel-and-growth-curve-models-in-r-and-stata-with-department-of-epidemiology-and-public-health-university-college-london This two-day workshop provides a comprehensive exploration of mixed models and growth curves, focusing on the practical application of these methods in Stata and R for analyzing longitudinal and hierarchical data. Participants will gain essential skills in specifying, fitting, and interpreting mixed models, enhancing their research capabilities in fields such as psychology, sociology, and public health. 2025-02-12 20:00:00 UTC 2025-02-14 00:00:00 UTC Department of Epidemiology and Public Health, University College London Instats info@instats.org [] [] [] open_to_all []
  • Pre-Analysis Phases of Systematic Reviews and Meta-Analysis with Carlton Fong, Department of Curriculum and Instruction, Texas State University

    14 - 15 February 2025

    Pre-Analysis Phases of Systematic Reviews and Meta-Analysis with Carlton Fong, Department of Curriculum and Instruction, Texas State University https://dresa.org.au/events/pre-analysis-phases-of-systematic-reviews-and-meta-analysis-with-carlton-fong-department-of-curriculum-and-instruction-texas-state-university This two-day workshop focuses on the essential pre-analysis phases of systematic reviews and meta-analyses, equipping participants with the skills needed to develop precise research questions, design effective search strategies, and apply rigorous screening criteria. Attendees will gain practical tools and techniques for robust study inclusion, ultimately enhancing the quality and impact of their research outputs. 2025-02-14 03:00:00 UTC 2025-02-15 08:00:00 UTC Carlton Fong, Department of Curriculum and Instruction, Texas State University Instats info@instats.org [] [] [] open_to_all []
  • Collective Memory in Organizations: Current Theory and Applications with Micki Eisenman, The Hebrew University of Jerusalem

    17 - 19 February 2025

    Collective Memory in Organizations: Current Theory and Applications with Micki Eisenman, The Hebrew University of Jerusalem https://dresa.org.au/events/collective-memory-in-organizations-current-theory-and-applications-with-micki-eisenman-the-hebrew-university-of-jerusalem This transformative 3-day workshop, led by esteemed scholar Micki Eisenman, delves into the intricate dynamics of organizational memory, exploring its impact on decision-making, strategy, and competitive advantage. Participants will gain comprehensive insights into theories and applications, enhancing their research capabilities and understanding of how to think about organizational memory as a strategic resource. 2025-02-17 18:00:00 UTC 2025-02-19 22:00:00 UTC Micki Eisenman, The Hebrew University of Jerusalem Instats info@instats.org [] [] [] open_to_all []
  • Using AI for Text Analysis: Advanced Applications with Seraphine Maerz, School of Social and Political Science, University of Melbourne

    18 February 2025

    Using AI for Text Analysis: Advanced Applications with Seraphine Maerz, School of Social and Political Science, University of Melbourne https://dresa.org.au/events/using-ai-for-text-analysis-advanced-applications-with-seraphine-maerz-school-of-social-and-political-science-university-of-melbourne This one-day workshop provides an advanced exploration of AI-driven text analysis, focusing on the application and fine-tuning of open-source large language models to enhance research across various academic disciplines. Participants will gain practical skills in setting up local environments and employing sophisticated AI methodologies, empowering them to conduct independent and impactful text analysis while ensuring data security and privacy. 2025-02-18 10:00:00 UTC 2025-02-18 16:00:00 UTC Seraphine Maerz, School of Social and Political Science, University of Melbourne Instats info@instats.org [] [] [] open_to_all []
  • Longitudinal Social Network Analysis with Tom Snijders, University of Oxford and University of Groningen

    19 - 21 February 2025

    Longitudinal Social Network Analysis with Tom Snijders, University of Oxford and University of Groningen https://dresa.org.au/events/longitudinal-social-network-analysis-with-tom-snijders-university-of-oxford-and-university-of-groningen This three-day workshop provides an introductory overview of longitudinal social network analysis using the RSiena package, focusing on the application of Stochastic Actor-oriented Models to study network dynamics as well as dynamics of networks and behavior. Participants will gain practical skills in modeling network panel data, as well as modeling co-evolution of networks and behavior, for application of these techniques across various academic disciplines. 2025-02-19 00:00:00 UTC 2025-02-21 08:00:00 UTC Tom Snijders, University of Oxford and University of Groningen Instats info@instats.org [] [] [] open_to_all []
  • Using AI for Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    19 - 20 February 2025

    Using AI for Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington https://dresa.org.au/events/using-ai-for-qualitative-research-with-corinne-seals-linguistics-and-applied-language-studies-victoria-university-of-wellington This two-day seminar delves into the integration of artificial intelligence tools like NVivo, ChatGPT, Perplexity, and HeyGen to transform qualitative research methodologies across various academic disciplines. Participants will learn to enhance their research capabilities by utilizing AI to generate innovative insights, create dynamic visual content, and critically evaluate AI-assisted data collection while considering ethical implications. 2025-02-19 09:00:00 UTC 2025-02-20 13:00:00 UTC Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington Instats info@instats.org [] [] [] open_to_all []
  • Machine Learning and AI for Researchers in R with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    20 - 22 February 2025

    Machine Learning and AI for Researchers in R with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/machine-learning-and-ai-for-researchers-in-r-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using R. After introducing the subject, the seminar will cover the following methods: (i) model selection and regularization (Lasso, Ridge, Elastic-net, and subset-selection models); (ii) discriminant analysis and nearest-neighbor classification; and (iii) artificial neural networks. The course will offer various instructional examples using real datasets in R. 2025-02-20 22:00:00 UTC 2025-02-22 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []
  • Advanced Data Visualizations in R (Free Seminar) with Statistical Society of Canada

    22 February 2025

    Advanced Data Visualizations in R (Free Seminar) with Statistical Society of Canada https://dresa.org.au/events/advanced-data-visualizations-in-r-free-seminar-with-statistical-society-of-canada This seminar introduces participants to creating aesthetic and informative visualizations using the R ggplot2 package and the Grammar of Graphics framework. The session covers foundational concepts, advanced customization techniques (e.g., scales, faceting, themes), and specialized visualizations like heatmaps and Kaplan-Meier curves, with interactive capabilities using plotly and an overview of Shiny. Via hands-on demonstrations, participants will gain practical skills to tailor visualizations for effective data storytelling and audience engagement. 2025-02-22 05:00:00 UTC 2025-02-22 07:00:00 UTC Statistical Society of Canada Instats info@instats.org [] [] [] open_to_all []
  • Advanced Data Visualizations in R (Free Seminar) with Statistical Society of Canada

    22 February 2025

    Advanced Data Visualizations in R (Free Seminar) with Statistical Society of Canada https://dresa.org.au/events/advanced-data-visualizations-in-r-free-seminar-with-statistical-society-of-canada-169cdf95-4bf4-4333-8fe4-ef888da0da4a This seminar introduces participants to creating aesthetic and informative visualizations using the R ggplot2 package and the Grammar of Graphics framework. The session covers foundational concepts, advanced customization techniques (e.g., scales, faceting, themes), and specialized visualizations like heatmaps and Kaplan-Meier curves, with interactive capabilities using plotly and an overview of Shiny. Via hands-on demonstrations, participants will gain practical skills to tailor visualizations for effective data storytelling and audience engagement. 2025-02-22 05:00:00 UTC 2025-02-22 07:00:00 UTC Statistical Society of Canada Instats info@instats.org [] [] [] open_to_all []
  • How to Publish Research Successfully with Lydia Bals, School of Business, University of Applied Sciences Mainz

    24 - 25 February 2025

    How to Publish Research Successfully with Lydia Bals, School of Business, University of Applied Sciences Mainz https://dresa.org.au/events/how-to-publish-research-successfully-with-lydia-bals-school-of-business-university-of-applied-sciences-mainz This intensive seminar provides researchers in in the social sciences with essential strategies for successful academic publishing, covering topic selection, manuscript preparation, and navigating the peer-review process. Participants will acquire vital skills to enhance their publication success and professional growth, including considerations regarding the use of ChatGPT as a research and writing assistant. 2025-02-24 20:00:00 UTC 2025-02-25 00:00:00 UTC Lydia Bals, School of Business, University of Applied Sciences Mainz Instats info@instats.org [] [] [] open_to_all []
  • Statistical Methods for Adaptive Treatment Strategies with Erica Moodie, McGill University and Statistical Society of Canada

    25 February - 2 April 2025

    Statistical Methods for Adaptive Treatment Strategies with Erica Moodie, McGill University and Statistical Society of Canada https://dresa.org.au/events/statistical-methods-for-adaptive-treatment-strategies-with-erica-moodie-mcgill-university-and-statistical-society-of-canada This one-day workshop provides an introduction to statistical methods for adaptive treatment strategies, crucial for advancing personalized medicine. Participants will learn about single-stage and multi-stage analyses, and be equipped with skills to enhance clinical decision-making and research outcomes in their own work. 2025-02-25 02:00:00 UTC 2025-04-02 04:30:00 UTC Erica Moodie, McGill University and Statistical Society of Canada Instats info@instats.org [] [] [] open_to_all []
  • Nonlinear Time Series Analysis (Part I) with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs

    25 - 28 February 2025

    Nonlinear Time Series Analysis (Part I) with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs https://dresa.org.au/events/nonlinear-time-series-analysis-part-i-with-bernard-ricca-lyda-hill-institute-for-human-resilience-university-of-colorado-colorado-springs This intensive four-day workshop provides a comprehensive introduction to nonlinear time series analysis, focusing on state space reconstruction and identifying evidence of nonlinear dynamics, using the R software. Participants will develop skills to manipulate, visualize, and create nonlinear models of time series data, enhancing their research in any field that works with time series data. 2025-02-25 03:00:00 UTC 2025-02-28 08:00:00 UTC Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs Instats info@instats.org [] [] [] open_to_all []
  • Using ChatGPT for Advanced Data Analysis 4.0 [US] with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana

    25 - 27 February 2025

    Using ChatGPT for Advanced Data Analysis 4.0 [US] with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana https://dresa.org.au/events/using-chatgpt-for-advanced-data-analysis-4-0-us-with-peter-gruber-faculty-of-economics-usi-universita-della-svizzera-italiana This 3-day workshop shows participants how to use ChatGPT for statistical analysis without having to use a statistics program or writing a single line of code. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests, and data visualisation. Special emphasis is placed on understanding the workings and limits of AI models, on the choice of the appropriate [i]mode[/i] and model and on assessing the output. The course also reflects on implications of AI for data analysis and the academic research process more generally. 2025-02-25 04:00:00 UTC 2025-02-27 08:00:00 UTC Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana Instats info@instats.org [] [] [] open_to_all []
  • Ethical Practices in Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    25 - 26 February 2025

    Ethical Practices in Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington https://dresa.org.au/events/ethical-practices-in-qualitative-research-with-corinne-seals-linguistics-and-applied-language-studies-victoria-university-of-wellington This two-day workshop focuses on the ethical practices essential for conducting qualitative research, emphasizing interaction with vulnerable populations, participant protection, and community engagement. Led by Corinne Seals, it provides researchers with ethical frameworks and practical skills to ensure their studies are socially responsible and impactful, particularly in complex field settings. 2025-02-25 09:00:00 UTC 2025-02-26 13:00:00 UTC Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Survival and Time-to-Event Data Analysis with Centre for Applied Statistics Courses (CASC), University College London

    25 - 26 February 2025

    Introduction to Survival and Time-to-Event Data Analysis with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-survival-and-time-to-event-data-analysis-with-centre-for-applied-statistics-courses-casc-university-college-london This course offers a complete introduction to survival analysis, also known as time-to-event data modeling. Key topics will be covered in-depth, including log-rank tests and Cox proportional hazard regression models to determine associations between predictors and event occurrence. An official Instats certificate of completion is provided along with 2 ECTS Equivalent points. 2025-02-25 20:30:00 UTC 2025-02-26 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Qualitative Data Analysis with MAXQDA with MAXQDA

    26 February 2025

    Introduction to Qualitative Data Analysis with MAXQDA with MAXQDA https://dresa.org.au/events/introduction-to-qualitative-data-analysis-with-maxqda-with-maxqda This intensive one-hour workshop provides a comprehensive introduction to qualitative data analysis using MAXQDA, equipping participants with skills to manage, analyze, and synthesize qualitative data effectively. Attendees will learn to import, code, and interpret data through MAXQDA's versatile tools, including AI-assisted features. The workshop will showcase how to build a project from scretch, what are the fundational project elements and how to utilize them for a qualitative research process. An official Instats certificate of completion is provided at the conclusion of the seminar. 2025-02-26 02:00:00 UTC 2025-02-26 03:30:00 UTC MAXQDA Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Qualitative Data Analysis with MAXQDA (Free Seminar) with MAXQDA

    26 February 2025

    Introduction to Qualitative Data Analysis with MAXQDA (Free Seminar) with MAXQDA https://dresa.org.au/events/introduction-to-qualitative-data-analysis-with-maxqda-free-seminar-with-maxqda This intensive one-hour workshop provides a comprehensive introduction to qualitative data analysis using MAXQDA, equipping participants with skills to manage, analyze, and synthesize qualitative data effectively. Attendees will learn to import, code, and interpret data through MAXQDA's versatile tools, including AI-assisted features. The workshop will showcase how to build a project from scretch, what are the fundational project elements and how to utilize them for a qualitative research process. An official Instats certificate of completion is provided at the conclusion of the seminar. 2025-02-26 02:00:00 UTC 2025-02-26 03:30:00 UTC MAXQDA Instats info@instats.org [] [] [] open_to_all []
  • Linear and Nonlinear Dimensionality Reduction with Nikolay Oskolkov, Molecular Biosciences, Lund University

    26 - 27 February 2025

    Linear and Nonlinear Dimensionality Reduction with Nikolay Oskolkov, Molecular Biosciences, Lund University https://dresa.org.au/events/linear-and-nonlinear-dimensionality-reduction-with-nikolay-oskolkov-molecular-biosciences-lund-university This seminar provides a comprehensive overview of dimension reduction techniques in R and Python for high-dimensional complex datasets, focusing on their practical applications. Participants will gain theoretical knowledge and practical experience in linear and nonlinear methods such as PCA, tSNE and UMAP. By the conclusion of the seminar, participants will understand the theoretical and practical foundations of these methods, with a wealth of examples that can be rapidly applied for their own research problems. 2025-02-26 19:00:00 UTC 2025-02-27 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all []
  • Causal Inference with Propensity Scores and Beyond with Elizabeth Stuart, Department of Biostatistics

    27 February - 6 March 2025

    Causal Inference with Propensity Scores and Beyond with Elizabeth Stuart, Department of Biostatistics https://dresa.org.au/events/causal-inference-with-propensity-scores-and-beyond-with-elizabeth-stuart-department-of-biostatistics This intensive workshop provides a comprehensive exploration of causal inference techniques, focusing on the use of propensity scores and advanced methodologies to derive robust conclusions in research across diverse fields. Led by Professor Elizabeth Stuart, participants will gain practical skills in applying these methods using R, enhancing their analytical capabilities and improving the credibility of their research findings. 2025-02-27 05:30:00 UTC 2025-03-06 08:00:00 UTC Elizabeth Stuart, Department of Biostatistics Instats info@instats.org [] [] [] open_to_all []
  • Causal Inference with Propensity Scores and Beyond with Elizabeth Stuart, Department of Biostatistics

    27 February - 6 March 2025

    Causal Inference with Propensity Scores and Beyond with Elizabeth Stuart, Department of Biostatistics https://dresa.org.au/events/causal-inference-with-propensity-scores-and-beyond-with-elizabeth-stuart-department-of-biostatistics-729bcc88-a109-41fd-a8fb-9d7a65d06745 This intensive workshop provides a comprehensive exploration of causal inference techniques, focusing on the use of propensity scores and advanced methodologies to derive robust conclusions in research across diverse fields. Led by Professor Elizabeth Stuart, participants will gain practical skills in applying these methods using R, enhancing their analytical capabilities and improving the credibility of their research findings. 2025-02-27 06:00:00 UTC 2025-03-06 08:30:00 UTC Elizabeth Stuart, Department of Biostatistics Instats info@instats.org [] [] [] open_to_all []
  • Analysing Survey Data with Weights and Complex Designs with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex

    28 February - 1 March 2025

    Analysing Survey Data with Weights and Complex Designs with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex https://dresa.org.au/events/analysing-survey-data-with-weights-and-complex-designs-with-tarek-al-baghal-institute-of-social-and-economic-research-university-of-essex This seminar provides a comprehensive introduction to analyzing survey data with weights and complex survey design, specifically focusing on handling stratification, clustering, and unequal selection probabilities using R. Participants will gain essential skills in applying statistical models and conducting data analyses, enhancing their capacity to produce methodologically robust research outcomes. 2025-02-28 00:00:00 UTC 2025-03-01 04:00:00 UTC Tarek Al Baghal, Institute of Social and Economic Research, University of Essex Instats info@instats.org [] [] [] open_to_all []
  • Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    28 February - 1 March 2025

    Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/machine-learning-in-python-with-kimberly-fessel-dr-kim-data-data-science-consultancy This intensive, hands-on workshop offers a deep dive into machine learning with Python, designed for PhD students, professors, and researchers across various fields. Participants will master practical skills in data cleaning, exploratory data analysis, and building powerful machine learning models, including neural networks, to elevate their research. With real-world coding exercises and expert guidance, this workshop will equip you with the tools to turn data into actionable insights. 2025-02-28 02:00:00 UTC 2025-03-01 08:00:00 UTC Kimberly Fessel, Dr Kim Data | Data Science Consultancy Instats info@instats.org [] [] [] open_to_all []
  • Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    28 February - 1 March 2025

    Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/machine-learning-in-python-with-kimberly-fessel-dr-kim-data-data-science-consultancy-be45d228-aeec-440c-a2cd-b1de5ffbd63a This intensive, hands-on workshop offers a deep dive into machine learning with Python, designed for PhD students, professors, and researchers across various fields. Participants will master practical skills in data cleaning, exploratory data analysis, and building powerful machine learning models, including neural networks, to elevate their research. With real-world coding exercises and expert guidance, this workshop will equip you with the tools to turn data into actionable insights. 2025-02-28 02:00:00 UTC 2025-03-01 08:00:00 UTC Kimberly Fessel, Dr Kim Data | Data Science Consultancy Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Bayesian Statistical Modelling with Rosina Savisaar, Mondego Science

    16 January - 13 February 2025

    Introduction to Bayesian Statistical Modelling with Rosina Savisaar, Mondego Science https://dresa.org.au/events/introduction-to-bayesian-statistical-modelling-with-rosina-savisaar-mondego-science This 5-day workshop provides an intuitive hands-on introduction to statistical modelling, viewed from the Bayesian perspective. The course starts by covering the very basics of what a model is, building up to fairly sophisticated models by the last session (for example, predicting COVID-19 outcomes from biomarker data). An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-16 02:00:00 UTC 2025-02-13 05:00:00 UTC Rosina Savisaar, Mondego Science Instats info@instats.org [] [] [] open_to_all []
  • Using ChatGPT for Advanced Data Analysis 4.0 [Europe/Asia] with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana

    10 - 12 February 2025

    Using ChatGPT for Advanced Data Analysis 4.0 [Europe/Asia] with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana https://dresa.org.au/events/using-chatgpt-for-advanced-data-analysis-4-0-europe-asia-with-peter-gruber-faculty-of-economics-usi-universita-della-svizzera-italiana This 3-day workshop shows participants how to use ChatGPT for statistical analysis without having to use a statistics program or writing a single line of code. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests, and data visualisation. Special emphasis is placed on understanding the workings and limits of AI models, on the choice of the appropriate [i]mode[/i] and model and on assessing the output. The course also reflects on implications of AI for data analysis and the academic research process more generally. 2025-02-10 19:00:00 UTC 2025-02-12 23:00:00 UTC Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana Instats info@instats.org [] [] [] open_to_all []
  • Time Management and Productivity Hacks for Researchers with Lydia Bals, School of Business, University of Applied Sciences Mainz

    10 - 12 February 2025

    Time Management and Productivity Hacks for Researchers with Lydia Bals, School of Business, University of Applied Sciences Mainz https://dresa.org.au/events/time-management-and-productivity-hacks-for-researchers-with-lydia-bals-school-of-business-university-of-applied-sciences-mainz This two-day workshop provides essential strategies for effective time management and productivity tailored specifically for academic researchers, addressing common challenges faced in balancing research, teaching, and administrative tasks. Participants will familiarize themselves with practical (AI) tools such as ChatGPT and innovative techniques to enhance their research efficiency and achieve a more sustainable work-life balance. 2025-02-10 20:00:00 UTC 2025-02-12 00:00:00 UTC Lydia Bals, School of Business, University of Applied Sciences Mainz Instats info@instats.org [] [] [] open_to_all []
  • Using AI for Text Analysis: An Introduction with Seraphine Maerz, School of Social and Political Science, University of Melbourne

    11 February 2025

    Using AI for Text Analysis: An Introduction with Seraphine Maerz, School of Social and Political Science, University of Melbourne https://dresa.org.au/events/using-ai-for-text-analysis-an-introduction-with-seraphine-maerz-school-of-social-and-political-science-university-of-melbourne This one-day workshop provides a basic introduction to using artificial intelligence for text analysis. Tailored for researchers across a variety of social and health science fields, participants will gain practical skills in building text corpuses, topic modeling, and using ChatGPT, Copilot, and other Large Language Models (LLMs) in R, while addressing ethical considerations and validation techniques for AI-driven research. 2025-02-11 03:00:00 UTC 2025-02-11 09:00:00 UTC Seraphine Maerz, School of Social and Political Science, University of Melbourne Instats info@instats.org [] [] [] open_to_all []
  • Estimating Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    11 - 12 February 2025

    Estimating Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/estimating-dose-response-functions-in-stata-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr-bc5f7852-fcd6-41b2-a59d-ec12a1bfe259 This seminar equips researchers with the knowledge and skills to identify and estimate dose-response functions using Stata, offering an in-depth exploration of two prominent approaches for estimating dose-response functions: the Generalized Propensity Score (GPS) method and the Regression-adjustment-based Dose-Response Models (CTREAT). These methods are widely used in the field of causal inference with continuous treatment (or exposure) and have applications in various domains such as medicine, social sciences, and economics. The seminar includes practical exercises, a Q&A session, and post-seminar support, offering participants a deep understanding of dose-response functions and their application in various research fields. An official Instats certificate of completion is provided along with 1 ECTS equivalent points. 2025-02-11 22:00:00 UTC 2025-02-12 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []
  • Estimating Causal Effects: Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    11 - 12 February 2025

    Estimating Causal Effects: Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/estimating-causal-effects-dose-response-functions-in-stata-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar equips researchers with the knowledge and skills to identify and estimate dose-response functions using Stata, offering an in-depth exploration of two prominent approaches for estimating dose-response functions: the Generalized Propensity Score (GPS) method and the Regression-adjustment-based Dose-Response Models (CTREAT). These methods are widely used in the field of causal inference with continuous treatment (or exposure) and have applications in various domains such as medicine, social sciences, and economics. 2025-02-11 22:00:00 UTC 2025-02-12 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []
  • Vector Generalized Linear and Additive Models with Thomas Yee, Department of Statistics, University of Auckland

    12 - 14 February 2025

    Vector Generalized Linear and Additive Models with Thomas Yee, Department of Statistics, University of Auckland https://dresa.org.au/events/vector-generalized-linear-and-additive-models-with-thomas-yee-department-of-statistics-university-of-auckland This workshop provides a comprehensive introduction to Vector Generalized Linear and Additive Models (VGLMs and VGAMs), equipping researchers with advanced skills for analyzing complex data structures often encountered in the social, health, and natural sciences. Participants will gain practical experience using the VGAM package in R for data analysis, enhancing their ability to apply sophisticated yet easy-to-use methods for their own research projects. 2025-02-12 10:00:00 UTC 2025-02-14 13:30:00 UTC Thomas Yee, Department of Statistics, University of Auckland Instats info@instats.org [] [] [] open_to_all []
  • Multilevel and Growth Curve Models in R and Stata with Department of Epidemiology and Public Health, University College London

    12 - 14 February 2025

    Multilevel and Growth Curve Models in R and Stata with Department of Epidemiology and Public Health, University College London https://dresa.org.au/events/multilevel-and-growth-curve-models-in-r-and-stata-with-department-of-epidemiology-and-public-health-university-college-london This two-day workshop provides a comprehensive exploration of mixed models and growth curves, focusing on the practical application of these methods in Stata and R for analyzing longitudinal and hierarchical data. Participants will gain essential skills in specifying, fitting, and interpreting mixed models, enhancing their research capabilities in fields such as psychology, sociology, and public health. 2025-02-12 20:00:00 UTC 2025-02-14 00:00:00 UTC Department of Epidemiology and Public Health, University College London Instats info@instats.org [] [] [] open_to_all []
  • Pre-Analysis Phases of Systematic Reviews and Meta-Analysis with Carlton Fong, Department of Curriculum and Instruction, Texas State University

    14 - 15 February 2025

    Pre-Analysis Phases of Systematic Reviews and Meta-Analysis with Carlton Fong, Department of Curriculum and Instruction, Texas State University https://dresa.org.au/events/pre-analysis-phases-of-systematic-reviews-and-meta-analysis-with-carlton-fong-department-of-curriculum-and-instruction-texas-state-university This two-day workshop focuses on the essential pre-analysis phases of systematic reviews and meta-analyses, equipping participants with the skills needed to develop precise research questions, design effective search strategies, and apply rigorous screening criteria. Attendees will gain practical tools and techniques for robust study inclusion, ultimately enhancing the quality and impact of their research outputs. 2025-02-14 03:00:00 UTC 2025-02-15 08:00:00 UTC Carlton Fong, Department of Curriculum and Instruction, Texas State University Instats info@instats.org [] [] [] open_to_all []
  • Collective Memory in Organizations: Current Theory and Applications with Micki Eisenman, The Hebrew University of Jerusalem

    17 - 19 February 2025

    Collective Memory in Organizations: Current Theory and Applications with Micki Eisenman, The Hebrew University of Jerusalem https://dresa.org.au/events/collective-memory-in-organizations-current-theory-and-applications-with-micki-eisenman-the-hebrew-university-of-jerusalem This transformative 3-day workshop, led by esteemed scholar Micki Eisenman, delves into the intricate dynamics of organizational memory, exploring its impact on decision-making, strategy, and competitive advantage. Participants will gain comprehensive insights into theories and applications, enhancing their research capabilities and understanding of how to think about organizational memory as a strategic resource. 2025-02-17 18:00:00 UTC 2025-02-19 22:00:00 UTC Micki Eisenman, The Hebrew University of Jerusalem Instats info@instats.org [] [] [] open_to_all []
  • Using AI for Text Analysis: Advanced Applications with Seraphine Maerz, School of Social and Political Science, University of Melbourne

    18 February 2025

    Using AI for Text Analysis: Advanced Applications with Seraphine Maerz, School of Social and Political Science, University of Melbourne https://dresa.org.au/events/using-ai-for-text-analysis-advanced-applications-with-seraphine-maerz-school-of-social-and-political-science-university-of-melbourne This one-day workshop provides an advanced exploration of AI-driven text analysis, focusing on the application and fine-tuning of open-source large language models to enhance research across various academic disciplines. Participants will gain practical skills in setting up local environments and employing sophisticated AI methodologies, empowering them to conduct independent and impactful text analysis while ensuring data security and privacy. 2025-02-18 10:00:00 UTC 2025-02-18 16:00:00 UTC Seraphine Maerz, School of Social and Political Science, University of Melbourne Instats info@instats.org [] [] [] open_to_all []
  • Longitudinal Social Network Analysis with Tom Snijders, University of Oxford and University of Groningen

    19 - 21 February 2025

    Longitudinal Social Network Analysis with Tom Snijders, University of Oxford and University of Groningen https://dresa.org.au/events/longitudinal-social-network-analysis-with-tom-snijders-university-of-oxford-and-university-of-groningen This three-day workshop provides an introductory overview of longitudinal social network analysis using the RSiena package, focusing on the application of Stochastic Actor-oriented Models to study network dynamics as well as dynamics of networks and behavior. Participants will gain practical skills in modeling network panel data, as well as modeling co-evolution of networks and behavior, for application of these techniques across various academic disciplines. 2025-02-19 00:00:00 UTC 2025-02-21 08:00:00 UTC Tom Snijders, University of Oxford and University of Groningen Instats info@instats.org [] [] [] open_to_all []
  • Using AI for Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    19 - 20 February 2025

    Using AI for Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington https://dresa.org.au/events/using-ai-for-qualitative-research-with-corinne-seals-linguistics-and-applied-language-studies-victoria-university-of-wellington This two-day seminar delves into the integration of artificial intelligence tools like NVivo, ChatGPT, Perplexity, and HeyGen to transform qualitative research methodologies across various academic disciplines. Participants will learn to enhance their research capabilities by utilizing AI to generate innovative insights, create dynamic visual content, and critically evaluate AI-assisted data collection while considering ethical implications. 2025-02-19 09:00:00 UTC 2025-02-20 13:00:00 UTC Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington Instats info@instats.org [] [] [] open_to_all []
  • Machine Learning and AI for Researchers in R with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    20 - 22 February 2025

    Machine Learning and AI for Researchers in R with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/machine-learning-and-ai-for-researchers-in-r-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using R. After introducing the subject, the seminar will cover the following methods: (i) model selection and regularization (Lasso, Ridge, Elastic-net, and subset-selection models); (ii) discriminant analysis and nearest-neighbor classification; and (iii) artificial neural networks. The course will offer various instructional examples using real datasets in R. 2025-02-20 22:00:00 UTC 2025-02-22 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []
  • Advanced Data Visualizations in R (Free Seminar) with Statistical Society of Canada

    22 February 2025

    Advanced Data Visualizations in R (Free Seminar) with Statistical Society of Canada https://dresa.org.au/events/advanced-data-visualizations-in-r-free-seminar-with-statistical-society-of-canada This seminar introduces participants to creating aesthetic and informative visualizations using the R ggplot2 package and the Grammar of Graphics framework. The session covers foundational concepts, advanced customization techniques (e.g., scales, faceting, themes), and specialized visualizations like heatmaps and Kaplan-Meier curves, with interactive capabilities using plotly and an overview of Shiny. Via hands-on demonstrations, participants will gain practical skills to tailor visualizations for effective data storytelling and audience engagement. 2025-02-22 05:00:00 UTC 2025-02-22 07:00:00 UTC Statistical Society of Canada Instats info@instats.org [] [] [] open_to_all []
  • Advanced Data Visualizations in R (Free Seminar) with Statistical Society of Canada

    22 February 2025

    Advanced Data Visualizations in R (Free Seminar) with Statistical Society of Canada https://dresa.org.au/events/advanced-data-visualizations-in-r-free-seminar-with-statistical-society-of-canada-169cdf95-4bf4-4333-8fe4-ef888da0da4a This seminar introduces participants to creating aesthetic and informative visualizations using the R ggplot2 package and the Grammar of Graphics framework. The session covers foundational concepts, advanced customization techniques (e.g., scales, faceting, themes), and specialized visualizations like heatmaps and Kaplan-Meier curves, with interactive capabilities using plotly and an overview of Shiny. Via hands-on demonstrations, participants will gain practical skills to tailor visualizations for effective data storytelling and audience engagement. 2025-02-22 05:00:00 UTC 2025-02-22 07:00:00 UTC Statistical Society of Canada Instats info@instats.org [] [] [] open_to_all []
  • How to Publish Research Successfully with Lydia Bals, School of Business, University of Applied Sciences Mainz

    24 - 25 February 2025

    How to Publish Research Successfully with Lydia Bals, School of Business, University of Applied Sciences Mainz https://dresa.org.au/events/how-to-publish-research-successfully-with-lydia-bals-school-of-business-university-of-applied-sciences-mainz This intensive seminar provides researchers in in the social sciences with essential strategies for successful academic publishing, covering topic selection, manuscript preparation, and navigating the peer-review process. Participants will acquire vital skills to enhance their publication success and professional growth, including considerations regarding the use of ChatGPT as a research and writing assistant. 2025-02-24 20:00:00 UTC 2025-02-25 00:00:00 UTC Lydia Bals, School of Business, University of Applied Sciences Mainz Instats info@instats.org [] [] [] open_to_all []
  • Statistical Methods for Adaptive Treatment Strategies with Erica Moodie, McGill University and Statistical Society of Canada

    25 February - 2 April 2025

    Statistical Methods for Adaptive Treatment Strategies with Erica Moodie, McGill University and Statistical Society of Canada https://dresa.org.au/events/statistical-methods-for-adaptive-treatment-strategies-with-erica-moodie-mcgill-university-and-statistical-society-of-canada This one-day workshop provides an introduction to statistical methods for adaptive treatment strategies, crucial for advancing personalized medicine. Participants will learn about single-stage and multi-stage analyses, and be equipped with skills to enhance clinical decision-making and research outcomes in their own work. 2025-02-25 02:00:00 UTC 2025-04-02 04:30:00 UTC Erica Moodie, McGill University and Statistical Society of Canada Instats info@instats.org [] [] [] open_to_all []
  • Nonlinear Time Series Analysis (Part I) with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs

    25 - 28 February 2025

    Nonlinear Time Series Analysis (Part I) with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs https://dresa.org.au/events/nonlinear-time-series-analysis-part-i-with-bernard-ricca-lyda-hill-institute-for-human-resilience-university-of-colorado-colorado-springs This intensive four-day workshop provides a comprehensive introduction to nonlinear time series analysis, focusing on state space reconstruction and identifying evidence of nonlinear dynamics, using the R software. Participants will develop skills to manipulate, visualize, and create nonlinear models of time series data, enhancing their research in any field that works with time series data. 2025-02-25 03:00:00 UTC 2025-02-28 08:00:00 UTC Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs Instats info@instats.org [] [] [] open_to_all []
  • Using ChatGPT for Advanced Data Analysis 4.0 [US] with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana

    25 - 27 February 2025

    Using ChatGPT for Advanced Data Analysis 4.0 [US] with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana https://dresa.org.au/events/using-chatgpt-for-advanced-data-analysis-4-0-us-with-peter-gruber-faculty-of-economics-usi-universita-della-svizzera-italiana This 3-day workshop shows participants how to use ChatGPT for statistical analysis without having to use a statistics program or writing a single line of code. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests, and data visualisation. Special emphasis is placed on understanding the workings and limits of AI models, on the choice of the appropriate [i]mode[/i] and model and on assessing the output. The course also reflects on implications of AI for data analysis and the academic research process more generally. 2025-02-25 04:00:00 UTC 2025-02-27 08:00:00 UTC Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana Instats info@instats.org [] [] [] open_to_all []
  • Ethical Practices in Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    25 - 26 February 2025

    Ethical Practices in Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington https://dresa.org.au/events/ethical-practices-in-qualitative-research-with-corinne-seals-linguistics-and-applied-language-studies-victoria-university-of-wellington This two-day workshop focuses on the ethical practices essential for conducting qualitative research, emphasizing interaction with vulnerable populations, participant protection, and community engagement. Led by Corinne Seals, it provides researchers with ethical frameworks and practical skills to ensure their studies are socially responsible and impactful, particularly in complex field settings. 2025-02-25 09:00:00 UTC 2025-02-26 13:00:00 UTC Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Survival and Time-to-Event Data Analysis with Centre for Applied Statistics Courses (CASC), University College London

    25 - 26 February 2025

    Introduction to Survival and Time-to-Event Data Analysis with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-survival-and-time-to-event-data-analysis-with-centre-for-applied-statistics-courses-casc-university-college-london This course offers a complete introduction to survival analysis, also known as time-to-event data modeling. Key topics will be covered in-depth, including log-rank tests and Cox proportional hazard regression models to determine associations between predictors and event occurrence. An official Instats certificate of completion is provided along with 2 ECTS Equivalent points. 2025-02-25 20:30:00 UTC 2025-02-26 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Qualitative Data Analysis with MAXQDA with MAXQDA

    26 February 2025

    Introduction to Qualitative Data Analysis with MAXQDA with MAXQDA https://dresa.org.au/events/introduction-to-qualitative-data-analysis-with-maxqda-with-maxqda This intensive one-hour workshop provides a comprehensive introduction to qualitative data analysis using MAXQDA, equipping participants with skills to manage, analyze, and synthesize qualitative data effectively. Attendees will learn to import, code, and interpret data through MAXQDA's versatile tools, including AI-assisted features. The workshop will showcase how to build a project from scretch, what are the fundational project elements and how to utilize them for a qualitative research process. An official Instats certificate of completion is provided at the conclusion of the seminar. 2025-02-26 02:00:00 UTC 2025-02-26 03:30:00 UTC MAXQDA Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Qualitative Data Analysis with MAXQDA (Free Seminar) with MAXQDA

    26 February 2025

    Introduction to Qualitative Data Analysis with MAXQDA (Free Seminar) with MAXQDA https://dresa.org.au/events/introduction-to-qualitative-data-analysis-with-maxqda-free-seminar-with-maxqda This intensive one-hour workshop provides a comprehensive introduction to qualitative data analysis using MAXQDA, equipping participants with skills to manage, analyze, and synthesize qualitative data effectively. Attendees will learn to import, code, and interpret data through MAXQDA's versatile tools, including AI-assisted features. The workshop will showcase how to build a project from scretch, what are the fundational project elements and how to utilize them for a qualitative research process. An official Instats certificate of completion is provided at the conclusion of the seminar. 2025-02-26 02:00:00 UTC 2025-02-26 03:30:00 UTC MAXQDA Instats info@instats.org [] [] [] open_to_all []
  • Linear and Nonlinear Dimensionality Reduction with Nikolay Oskolkov, Molecular Biosciences, Lund University

    26 - 27 February 2025

    Linear and Nonlinear Dimensionality Reduction with Nikolay Oskolkov, Molecular Biosciences, Lund University https://dresa.org.au/events/linear-and-nonlinear-dimensionality-reduction-with-nikolay-oskolkov-molecular-biosciences-lund-university This seminar provides a comprehensive overview of dimension reduction techniques in R and Python for high-dimensional complex datasets, focusing on their practical applications. Participants will gain theoretical knowledge and practical experience in linear and nonlinear methods such as PCA, tSNE and UMAP. By the conclusion of the seminar, participants will understand the theoretical and practical foundations of these methods, with a wealth of examples that can be rapidly applied for their own research problems. 2025-02-26 19:00:00 UTC 2025-02-27 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all []
  • Causal Inference with Propensity Scores and Beyond with Elizabeth Stuart, Department of Biostatistics

    27 February - 6 March 2025

    Causal Inference with Propensity Scores and Beyond with Elizabeth Stuart, Department of Biostatistics https://dresa.org.au/events/causal-inference-with-propensity-scores-and-beyond-with-elizabeth-stuart-department-of-biostatistics This intensive workshop provides a comprehensive exploration of causal inference techniques, focusing on the use of propensity scores and advanced methodologies to derive robust conclusions in research across diverse fields. Led by Professor Elizabeth Stuart, participants will gain practical skills in applying these methods using R, enhancing their analytical capabilities and improving the credibility of their research findings. 2025-02-27 05:30:00 UTC 2025-03-06 08:00:00 UTC Elizabeth Stuart, Department of Biostatistics Instats info@instats.org [] [] [] open_to_all []
  • Causal Inference with Propensity Scores and Beyond with Elizabeth Stuart, Department of Biostatistics

    27 February - 6 March 2025

    Causal Inference with Propensity Scores and Beyond with Elizabeth Stuart, Department of Biostatistics https://dresa.org.au/events/causal-inference-with-propensity-scores-and-beyond-with-elizabeth-stuart-department-of-biostatistics-729bcc88-a109-41fd-a8fb-9d7a65d06745 This intensive workshop provides a comprehensive exploration of causal inference techniques, focusing on the use of propensity scores and advanced methodologies to derive robust conclusions in research across diverse fields. Led by Professor Elizabeth Stuart, participants will gain practical skills in applying these methods using R, enhancing their analytical capabilities and improving the credibility of their research findings. 2025-02-27 06:00:00 UTC 2025-03-06 08:30:00 UTC Elizabeth Stuart, Department of Biostatistics Instats info@instats.org [] [] [] open_to_all []
  • Analysing Survey Data with Weights and Complex Designs with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex

    28 February - 1 March 2025

    Analysing Survey Data with Weights and Complex Designs with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex https://dresa.org.au/events/analysing-survey-data-with-weights-and-complex-designs-with-tarek-al-baghal-institute-of-social-and-economic-research-university-of-essex This seminar provides a comprehensive introduction to analyzing survey data with weights and complex survey design, specifically focusing on handling stratification, clustering, and unequal selection probabilities using R. Participants will gain essential skills in applying statistical models and conducting data analyses, enhancing their capacity to produce methodologically robust research outcomes. 2025-02-28 00:00:00 UTC 2025-03-01 04:00:00 UTC Tarek Al Baghal, Institute of Social and Economic Research, University of Essex Instats info@instats.org [] [] [] open_to_all []
  • Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    28 February - 1 March 2025

    Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/machine-learning-in-python-with-kimberly-fessel-dr-kim-data-data-science-consultancy This intensive, hands-on workshop offers a deep dive into machine learning with Python, designed for PhD students, professors, and researchers across various fields. Participants will master practical skills in data cleaning, exploratory data analysis, and building powerful machine learning models, including neural networks, to elevate their research. With real-world coding exercises and expert guidance, this workshop will equip you with the tools to turn data into actionable insights. 2025-02-28 02:00:00 UTC 2025-03-01 08:00:00 UTC Kimberly Fessel, Dr Kim Data | Data Science Consultancy Instats info@instats.org [] [] [] open_to_all []
  • Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    28 February - 1 March 2025

    Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/machine-learning-in-python-with-kimberly-fessel-dr-kim-data-data-science-consultancy-be45d228-aeec-440c-a2cd-b1de5ffbd63a This intensive, hands-on workshop offers a deep dive into machine learning with Python, designed for PhD students, professors, and researchers across various fields. Participants will master practical skills in data cleaning, exploratory data analysis, and building powerful machine learning models, including neural networks, to elevate their research. With real-world coding exercises and expert guidance, this workshop will equip you with the tools to turn data into actionable insights. 2025-02-28 02:00:00 UTC 2025-03-01 08:00:00 UTC Kimberly Fessel, Dr Kim Data | Data Science Consultancy Instats info@instats.org [] [] [] open_to_all []

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