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66 events found

Content provider: Instats 

  • Writing Up a Qualitative PhD with David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University

    18 - 20 June 2024

    Writing Up a Qualitative PhD with David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University https://dresa.org.au/events/writing-up-a-qualitative-phd-with-david-silverman-goldsmiths-university-of-london-king-s-college-london-university-of-technology-sydney-leeds-university This workshop, led by senior professor David Silverman, is a transformative academic writing seminar designed to equip PhD students, professors, and researchers with the skills to effectively present their qualitative research and to supervise other researchers. It is based on professor Silverman's bestselling textbook [i]Doing Qualitative Research[/i] as well as the many one-on-ones he has had with PhD students and colleagues in seminars across the world. 2024-06-18 19:00:00 UTC 2024-06-20 22:30:00 UTC David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University Instats info@instats.org [] [] [] open_to_all []
  • Statistique Appliquée avec JMP with SMCS

    18 - 26 November 2024

    Statistique Appliquée avec JMP with SMCS https://dresa.org.au/events/statistique-appliquee-avec-jmp-with-smcs This workshop offers a comprehensive introduction to advanced statistical methods using JMP software, tailored for PhD students and researchers. Over five days, participants will master data management, exploratory analysis, regression techniques, and more, gaining practical skills directly applicable to their research projects. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 0.5 ECTS Equivalent point. 2024-11-18 19:00:00 UTC 2024-11-26 22:30:00 UTC SMCS Instats info@instats.org [] [] [] open_to_all []
  • Computational Network Science Using Python with Moses Boudourides from the Data Science Graduate Program, School of Professional Studies, Northwestern University

    19 - 23 November 2024

    Computational Network Science Using Python with Moses Boudourides from the Data Science Graduate Program, School of Professional Studies, Northwestern University https://dresa.org.au/events/computational-network-science-using-python-with-moses-boudourides-data-science-graduate-program-school-of-professional-studies-northwestern-university In this comprehensive seminar, led by professor Moses Boudourides, participants will explore the fundamentals and advanced techniques of computational network science using Python. Attendees will acquire skills to construct, manipulate, and analyze various network structures, enabling them to uncover insights from complex datasets and apply these methods to their specific fields and areas of research. 2024-11-19 04:00:00 UTC 2024-11-23 05:30:00 UTC Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University Instats info@instats.org [] [] [] open_to_all []
  • Applied Regression with Continuous and Categorical Data with UCL's Department of Epidemiology and Public Health

    19 - 23 November 2024

    Applied Regression with Continuous and Categorical Data with UCL's Department of Epidemiology and Public Health https://dresa.org.au/events/applied-regression-with-continuous-and-categorical-data-with-department-of-epidemiology-and-public-health This comprehensive 4-day workshop equips researchers with advanced skills in both linear and Poisson regression analysis using real-world data. Offered by researchers from the Institute of Epidemiology & Health Care at UCL, participants will enhance their data preparation, model building, and interpretation capabilities, gaining practical, hands-on experience essential for impactful research across various social, health, and life science disciplines. 2024-11-19 20:00:00 UTC 2024-11-23 00:00:00 UTC University College London, Department of Epidemiology and Public Health Instats info@instats.org [] [] [] open_to_all []
  • Using Polars and Narwhals in Python (Free Seminar) with Data Umbrella

    20 November 2024

    Using Polars and Narwhals in Python (Free Seminar) with Data Umbrella https://dresa.org.au/events/using-polars-and-narwhals-in-python-free-seminar-with-data-umbrella This webinar provides an introduction to Polars, a high-performance DataFrame library in Python, focusing on its expressions and their practical applications in data analysis. If you're familiar with using pandas in Python, then come to this webinar to see how you can transition to the powerful Polars library. 2024-11-20 04:00:00 UTC 2024-11-20 05:00:00 UTC Data Umbrella Instats info@instats.org [] [] [] open_to_all []
  • Introduction to ECHILD (Education and Child Health Insights from Linked Data) with Great Ormond Street Institute of Child Health, University College London

    20 - 22 November 2024

    Introduction to ECHILD (Education and Child Health Insights from Linked Data) with Great Ormond Street Institute of Child Health, University College London https://dresa.org.au/events/introduction-to-echild-education-and-child-health-insights-from-linked-data-with-great-ormond-street-institute-of-child-health-university-college-london This short course is designed to give participants a practical introduction to ECHILD (Educational and Child Health Insights from Linked Data). ECHILD is a collection of linked, longitudinal administrative datasets covering health, education and children’s social care. The course is aimed at both analysts intending to use ECHILD and researchers who want to understand more about how the data can be used for policy relevant research. This course includes a mixture of lectures and practical sessions that will enable participants to put theory into practice.   2024-11-20 20:00:00 UTC 2024-11-22 04:00:00 UTC Great Ormond Street Institute of Child Health, University College London Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Web App Development with R Shiny with Fodil Ihaddaden, Institute for Statistical and Data Science

    21 - 22 November 2024

    Introduction to Web App Development with R Shiny with Fodil Ihaddaden, Institute for Statistical and Data Science https://dresa.org.au/events/introduction-to-web-app-development-with-r-shiny-with-fodil-ihaddaden-institute-for-statistical-and-data-science This workshop provides an extensive introduction to developing interactive web applications using R Shiny, enabling participants to create, deploy, and optimize data-driven web tools. Ideal for PhD students, professors, and researchers, the course covers fundamental and advanced concepts tailored to enhance research presentation and real-time analytical communication across various scientific domains. 2024-11-21 00:00:00 UTC 2024-11-22 06:00:00 UTC Fodil Ihaddaden, Institute for Statistical and Data Science Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Meta-Analysis with Centre for Applied Statistics Courses (CASC), University College London

    21 - 23 November 2024

    Introduction to Meta-Analysis with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-meta-analysis-with-centre-for-applied-statistics-courses-casc-university-college-london This brief 'Introduction to Meta-Analysis' workshop by University College London (UCL) provides an overview of meta-analysis from a statistical point of view, with an optional half day workshop in R and Stata. The seminar covers a wide range of topics, including interpreting results and writing a report, making it ideal for PhD students, professors, and professional researchers across various fields. 2024-11-21 00:30:00 UTC 2024-11-23 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []
  • Item Response Theory in R and IRTPRO with Michael Toland, Department of Educational Studies, University of Toledo

    21 - 22 November 2024

    Item Response Theory in R and IRTPRO with Michael Toland, Department of Educational Studies, University of Toledo https://dresa.org.au/events/item-response-theory-in-r-and-irtpro-with-michael-toland-department-of-educational-studies-university-of-toledo This seminar provides a comprehensive introduction to Item Response Theory (IRT), covering fundamental concepts, model specification, parameter estimation, and practical applications using R and IRTPRO. Participants will gain hands-on experience and theoretical knowledge to enhance the quality and precision of their research, with an official Instats certificate of completion provided at the end. 2024-11-21 02:00:00 UTC 2024-11-22 08:00:00 UTC Michael Toland, Department of Educational Studies, University of Toledo Instats info@instats.org [] [] [] open_to_all []
  • Using AI for Text Analysis with Seraphine Maerz, School of Social and Political Science, University of Melbourne

    26 November 2024

    Using AI for Text Analysis with Seraphine Maerz, School of Social and Political Science, University of Melbourne https://dresa.org.au/events/using-ai-for-text-analysis-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. 2024-11-26 10:00:00 UTC 2024-11-26 16:00:00 UTC Seraphine Maerz, School of Social and Political Science, University of Melbourne Instats info@instats.org [] [] [] open_to_all []
  • Single Cell Data Analysis with Nikolay Oskolkov, Molecular Biosciences, Lund University

    26 - 27 November 2024

    Single Cell Data Analysis with Nikolay Oskolkov, Molecular Biosciences, Lund University https://dresa.org.au/events/single-cell-data-analysis-with-nikolay-oskolkov-molecular-biosciences-lund-university This one-day workshop provides a comprehensive overview of single-cell data analysis, focusing on the advanced computational tools and methodologies required to interpret cellular heterogeneity using single-cell RNA sequencing technologies. Participants will gain practical skills in preprocessing, clustering, and integrating datasets, leveraging powerful R and Python libraries, with an emphasis on biological inference and real-world applications in fields such as cancer research and immunology. 2024-11-26 19:00:00 UTC 2024-11-27 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all []
  • Single Cell Data Analysis with Nikolay Oskolkov, Molecular Biosciences, Lund University

    28 - 29 November 2024

    Single Cell Data Analysis with Nikolay Oskolkov, Molecular Biosciences, Lund University https://dresa.org.au/events/single-cell-data-analysis-with-nikolay-oskolkov-molecular-biosciences-lund-university-c2fcbed8-26bf-433d-a117-2b8599e574e8 This one-day workshop provides a comprehensive overview of single-cell data analysis, focusing on the advanced computational tools and methodologies required to interpret cellular heterogeneity using single-cell RNA sequencing technologies. Participants will gain practical skills in preprocessing, clustering, and integrating datasets, leveraging powerful R and Python libraries, with an emphasis on biological inference and real-world applications in fields such as cancer research and immunology. 2024-11-28 19:00:00 UTC 2024-11-29 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Survey Methodology with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex

    28 - 30 November 2024

    Introduction to Survey Methodology with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex https://dresa.org.au/events/introduction-to-survey-methodology-with-tarek-al-baghal-institute-of-social-and-economic-research-university-of-essex Survey methodology is critical in social science research for understanding human behavior and to inform policy decisions. This two-day workshop, led by Dr. Tarek Al Baghal and Dr. Alexandru Cernat, equips students and researchers with foundational and advanced knowledge in survey methodology and data collection. Participants will learn to design effective surveys, minimize errors, and conduct robust, credible research. 2024-11-28 20:30:00 UTC 2024-11-30 03:30:00 UTC Tarek Al Baghal, Institute of Social and Economic Research, University of Essex Instats info@instats.org [] [] [] open_to_all []
  • Lesson from Nature for Peace and Cooperation with Alexandre Roulin, Department of Ecology and Evolution, University of Lausanne

    4 December 2024

    Lesson from Nature for Peace and Cooperation with Alexandre Roulin, Department of Ecology and Evolution, University of Lausanne https://dresa.org.au/events/lesson-from-nature-for-peace-and-cooperation-with-alexandre-roulin-department-of-ecology-and-evolution-university-of-lausanne This seminar, led by Professor Alexandre Roulin, explores the unique social behaviors of Barn Owls as a source of inspiration for peace and cooperation among human communities, integrating insights from biology, psychology, and international relations. Participants will gain valuable knowledge in evolutionary biology and learn interdisciplinary approaches to address global challenges. 2024-12-04 02:00:00 UTC 2024-12-04 03:00:00 UTC Alexandre Roulin, Department of Ecology and Evolution, University of Lausanne Instats info@instats.org [] [] [] open_to_all []
  • Operations, Finance, and Stock Market Performance (Free Seminar) with Yao Zhao, Rutgers Business School, Rutgers University

    4 December 2024

    Operations, Finance, and Stock Market Performance (Free Seminar) with Yao Zhao, Rutgers Business School, Rutgers University https://dresa.org.au/events/operations-finance-and-stock-market-performance-free-seminar-with-yao-zhao-rutgers-business-school-rutgers-university This seminar explores the interplay between operations, finance, and stock market performance. Participants will gain quantitative insights into how operational decisions impact financial outcomes and subsequently stock market movements, utilizing vast and free business and financial databases like SCDATA.AI for sophisticated data analysis and predictive analytics, and using recent examples like Amazon, Intel, Boeing and Tesla. 2024-12-04 06:00:00 UTC 2024-12-04 07:30:00 UTC Yao Zhao, Rutgers Business School, Rutgers University Instats info@instats.org [] [] [] open_to_all []
  • Integration in Mixed Methods Research: Principles and Practices with Sergi Fabregues, Department of Psychology and Education, Universitat Oberta de Catalunya and Mixed Methods Program, University of Michigan

    7 December 2024

    Integration in Mixed Methods Research: Principles and Practices with Sergi Fabregues, Department of Psychology and Education, Universitat Oberta de Catalunya and Mixed Methods Program, University of Michigan https://dresa.org.au/events/integration-in-mixed-methods-research-principles-and-practices-with-sergi-fabregues-department-of-psychology-and-education-universitat-oberta-de-catalunya-and-mixed-methods-program-university-of-michigan The integration of quantitative and qualitative components is the most challenging part of a mixed methods study, and therefore integration procedures and strategies are crucial for authors to obtain the maximum added value from their mixed methods studies. This two-day seminar focuses on the principles and practice of integration in mixed methods research. 2024-12-07 00:00:00 UTC 2024-12-07 05:00:00 UTC Sergi Fabregues, Department of Psychology and Education, Universitat Oberta de Catalunya and Mixed Methods Program, University of Michigan Instats info@instats.org [] [] [] open_to_all []
  • Survival Analysis for Social and Health Science with Kevin Grimm, Department of Psychology, Arizona State University

    7 December 2024

    Survival Analysis for Social and Health Science with Kevin Grimm, Department of Psychology, Arizona State University https://dresa.org.au/events/survival-analysis-for-social-and-health-science-with-kevin-grimm-department-of-psychology-arizona-state-university This one-day workshop provides a comprehensive introduction to survival analysis, focusing on its application in social and health sciences. Participants will gain hands-on experience with Mplus, R, and SAS, and learn to analyze survival data effectively. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2024-12-07 02:00:00 UTC 2024-12-07 06:00:00 UTC Kevin Grimm, Department of Psychology, Arizona State University Instats info@instats.org [] [] [] open_to_all []
  • Survival Analysis for Social and Health Science with Kevin Grimm, Department of Psychology, Arizona State University

    7 December 2024

    Survival Analysis for Social and Health Science with Kevin Grimm, Department of Psychology, Arizona State University https://dresa.org.au/events/survival-analysis-for-social-and-health-science-with-kevin-grimm-department-of-psychology-arizona-state-university-7ed777c9-d3d8-4431-9d48-70a61fc83349 This one-day workshop provides a comprehensive introduction to survival analysis, focusing on its application in social and health sciences. Participants will gain hands-on experience with Mplus, R, and SAS, and learn to analyze survival data effectively. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2024-12-07 02:00:00 UTC 2024-12-07 06:00:00 UTC Kevin Grimm, Department of Psychology, Arizona State University Instats info@instats.org [] [] [] open_to_all []
  • Multilevel Modeling and Multilevel SEM with Michael Zyphur, University of Queensland and Instats

    10 - 11 December 2024

    Multilevel Modeling and Multilevel SEM with Michael Zyphur, University of Queensland and Instats https://dresa.org.au/events/multilevel-modeling-and-multilevel-sem-with-michael-zyphur-university-of-queensland-and-instats This seminar introduces the Mplus multilevel latent variable modeling framework and describes multilevel variance/effect decomposition, random/fixed effects (random slopes), and then explores multilevel path analysis, multilevel CFA, and multilevel SEM. Topics include ways to handle strong correlations at the between-group level, indirect effects (multilevel mediation), interaction effects (multilevel moderation), and conditional indirect effects (multilevel moderated mediation). 2024-12-10 10:00:00 UTC 2024-12-11 15:30:00 UTC Michael Zyphur, University of Queensland and Instats Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Git (Free Seminar) with Data Umbrella

    11 December 2024

    Introduction to Git (Free Seminar) with Data Umbrella https://dresa.org.au/events/introduction-to-git-free-seminar-with-data-umbrella Join us for an introductory session on Git, the quintessential version control software used by developers to collaborate and manage projects. Discover some fundamental concepts, explore its practical applications, and learn how to efficiently use both the command line and the Visual Studio Code graphical user interface (GUI). Whether you're a seasoned developer or just starting your coding journey, this webinar will equip you with essential skills. 2024-12-11 04:00:00 UTC 2024-12-11 05:30:00 UTC Data Umbrella Instats info@instats.org [] [] [] open_to_all []
  • Intensive Longitudinal Methods: Design and Analysis in Mplus with Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne

    12 - 13 December 2024

    Intensive Longitudinal Methods: Design and Analysis in Mplus with Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne https://dresa.org.au/events/intensive-longitudinal-methods-design-and-analysis-in-mplus-with-peter-koval-melbourne-school-of-psychological-sciences-university-of-melbourne This two-day workshop provides a comprehensive understanding of intensive longitudinal methods essential for capturing dynamic processes over time, with a focus on using Mplus for data analysis. Participants will gain practical skills in designing, analyzing, and interpreting intensive longitudinal data, enhancing the rigor and impact of their research. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2024-12-12 10:00:00 UTC 2024-12-13 15:30:00 UTC Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne Instats info@instats.org [] [] [] open_to_all []
  • Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics

    18 December 2024

    Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://dresa.org.au/events/principles-of-data-visualization-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This seminar provides an essential introduction to the principles of data visualization for academic researchers and professionals. It focuses on understanding how to effectively communicate quantitative information through visual means, with an emphasis on audience-centric design. Attendees will learn how to select appropriate chart types, declutter visualizations, and enhance clarity, all without relying on a specific software tool. This course is designed to improve data storytelling and ensure that visual presentations of data are both accurate and compelling. 2024-12-18 17:00:00 UTC 2024-12-18 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all []
  • Bayesian Spatial and Spatio-Temporal Health Modeling in R with Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina

    8 - 11 January 2025

    Bayesian Spatial and Spatio-Temporal Health Modeling in R with Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina https://dresa.org.au/events/bayesian-spatial-and-spatio-temporal-health-modeling-in-r-with-andrew-lawson-department-of-public-health-sciences-medical-university-of-south-carolina This workshop provides a comprehensive introduction to advanced techniques for analyzing spatial and spatio-temporal data. While the examples used will be primarily from the health sciences, this four-day hands-on workshop is designed to equip PhD students, professors, and professional researchers with the skills to conduct cutting-edge research in various fields, including Geography, Epidemiology, Public Health, Biostatistics, Ecology, Sociology, and Political Science. 2025-01-08 01:00:00 UTC 2025-01-11 04:00:00 UTC Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Research Methods and Statistics with Centre for Applied Statistics Courses (CASC), University College London

    13 - 18 January 2025

    Introduction to Research Methods and Statistics with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-research-methods-and-statistics-with-centre-for-applied-statistics-courses-casc-university-college-london This intensive 5-day workshop provides a comprehensive introduction to research methods and statistics, equipping participants with practical skills in statistical methodologies essential for high-quality research. Participants will explore a variety of topics, including data collection, hypothesis testing, and multivariate analysis, while enhancing their ability to apply statistical methods confidently in diverse research contexts. 2025-01-13 20:30:00 UTC 2025-01-18 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Nonlinear Dynamical Systems and Analysis with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs

    14 - 15 January 2025

    Introduction to Nonlinear Dynamical Systems and Analysis with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs https://dresa.org.au/events/introduction-to-nonlinear-dynamical-systems-and-analysis-with-bernard-ricca-lyda-hill-institute-for-human-resilience-university-of-colorado-colorado-springs This seminar introduces nonlinear dynamical systems analyses tailored for researchers in the social, behavioral, and economic sciences, providing a framework to model complex human behavior and societal interactions. Participants will gain hands-on expertise in using R for nonlinear dynamical systems modeling, exploring concepts such as fixed points, stability, and attractors, with practical applications to enhance their research approaches. 2025-01-14 03:00:00 UTC 2025-01-15 08:00:00 UTC Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs Instats info@instats.org [] [] [] open_to_all []
  • Meta-Analysis: An Introductory Course with Michael Borenstein, Biostat, Inc.

    14 - 17 January 2025

    Meta-Analysis: An Introductory Course with Michael Borenstein, Biostat, Inc. https://dresa.org.au/events/meta-analysis-an-introductory-course-with-michael-borenstein-biostat-inc This four-day workshop provides the knowledge and skills needed to start conducting and reporting the results of meta-analyses. An emphasis is placed on the two primary types of meta-analysis: fixed-effects versus random-effects models. Each topic will be introduced at the conceptual level, followed by worked examples and exercises so that participants will feel comfortable performing these analyses on their own. All sessions include time for an extensive discussion. 2025-01-14 03:00:00 UTC 2025-01-17 09:00:00 UTC Michael Borenstein, Biostat, Inc. 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)

    14 - 15 January 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 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. 2025-01-14 22:00:00 UTC 2025-01-15 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 []
  • Remote Sensing in Ecology with imageRy for R with Duccio Rocchini, University of Bologna

    15 - 19 January 2025

    Remote Sensing in Ecology with imageRy for R with Duccio Rocchini, University of Bologna https://dresa.org.au/events/remote-sensing-in-ecology-with-imagery-for-r-with-duccio-rocchini-university-of-bologna This seminar, led by Duccio Rocchini, provides an in-depth exploration of how remote sensing can enhance ecological research, focusing on the use of the imageRy R package for data analysis. Participants will gain practical skills in processing satellite imagery, mapping vegetation, assessing biodiversity, and integrating spatial data, equipping them to effectively incorporate remote sensing into their ecological studies. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-15 23:00:00 UTC 2025-01-19 05:00:00 UTC Duccio Rocchini, University of Bologna 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 []
  • Introduction to R for Data Analysis with Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine

    16 - 17 January 2025

    Introduction to R for Data Analysis with Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine https://dresa.org.au/events/introduction-to-r-for-data-analysis-with-rebecca-barter-division-of-epidemiology-university-of-utah-school-of-medicine This seminar provides a comprehensive introduction to R programming for data analysis, tailored to social scientists, epidemiologists, and researchers across various fields. Participants will learn essential skills in data manipulation, visualization, and statistical analysis, enabling them to improve their research methodologies by effectively using R. 2025-01-16 04:00:00 UTC 2025-01-17 10:00:00 UTC Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine Instats info@instats.org [] [] [] open_to_all []
  • Writing Up a Qualitative PhD with David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University

    18 - 20 June 2024

    Writing Up a Qualitative PhD with David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University https://dresa.org.au/events/writing-up-a-qualitative-phd-with-david-silverman-goldsmiths-university-of-london-king-s-college-london-university-of-technology-sydney-leeds-university This workshop, led by senior professor David Silverman, is a transformative academic writing seminar designed to equip PhD students, professors, and researchers with the skills to effectively present their qualitative research and to supervise other researchers. It is based on professor Silverman's bestselling textbook [i]Doing Qualitative Research[/i] as well as the many one-on-ones he has had with PhD students and colleagues in seminars across the world. 2024-06-18 19:00:00 UTC 2024-06-20 22:30:00 UTC David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University Instats info@instats.org [] [] [] open_to_all []
  • Statistique Appliquée avec JMP with SMCS

    18 - 26 November 2024

    Statistique Appliquée avec JMP with SMCS https://dresa.org.au/events/statistique-appliquee-avec-jmp-with-smcs This workshop offers a comprehensive introduction to advanced statistical methods using JMP software, tailored for PhD students and researchers. Over five days, participants will master data management, exploratory analysis, regression techniques, and more, gaining practical skills directly applicable to their research projects. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 0.5 ECTS Equivalent point. 2024-11-18 19:00:00 UTC 2024-11-26 22:30:00 UTC SMCS Instats info@instats.org [] [] [] open_to_all []
  • Computational Network Science Using Python with Moses Boudourides from the Data Science Graduate Program, School of Professional Studies, Northwestern University

    19 - 23 November 2024

    Computational Network Science Using Python with Moses Boudourides from the Data Science Graduate Program, School of Professional Studies, Northwestern University https://dresa.org.au/events/computational-network-science-using-python-with-moses-boudourides-data-science-graduate-program-school-of-professional-studies-northwestern-university In this comprehensive seminar, led by professor Moses Boudourides, participants will explore the fundamentals and advanced techniques of computational network science using Python. Attendees will acquire skills to construct, manipulate, and analyze various network structures, enabling them to uncover insights from complex datasets and apply these methods to their specific fields and areas of research. 2024-11-19 04:00:00 UTC 2024-11-23 05:30:00 UTC Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University Instats info@instats.org [] [] [] open_to_all []
  • Applied Regression with Continuous and Categorical Data with UCL's Department of Epidemiology and Public Health

    19 - 23 November 2024

    Applied Regression with Continuous and Categorical Data with UCL's Department of Epidemiology and Public Health https://dresa.org.au/events/applied-regression-with-continuous-and-categorical-data-with-department-of-epidemiology-and-public-health This comprehensive 4-day workshop equips researchers with advanced skills in both linear and Poisson regression analysis using real-world data. Offered by researchers from the Institute of Epidemiology & Health Care at UCL, participants will enhance their data preparation, model building, and interpretation capabilities, gaining practical, hands-on experience essential for impactful research across various social, health, and life science disciplines. 2024-11-19 20:00:00 UTC 2024-11-23 00:00:00 UTC University College London, Department of Epidemiology and Public Health Instats info@instats.org [] [] [] open_to_all []
  • Using Polars and Narwhals in Python (Free Seminar) with Data Umbrella

    20 November 2024

    Using Polars and Narwhals in Python (Free Seminar) with Data Umbrella https://dresa.org.au/events/using-polars-and-narwhals-in-python-free-seminar-with-data-umbrella This webinar provides an introduction to Polars, a high-performance DataFrame library in Python, focusing on its expressions and their practical applications in data analysis. If you're familiar with using pandas in Python, then come to this webinar to see how you can transition to the powerful Polars library. 2024-11-20 04:00:00 UTC 2024-11-20 05:00:00 UTC Data Umbrella Instats info@instats.org [] [] [] open_to_all []
  • Introduction to ECHILD (Education and Child Health Insights from Linked Data) with Great Ormond Street Institute of Child Health, University College London

    20 - 22 November 2024

    Introduction to ECHILD (Education and Child Health Insights from Linked Data) with Great Ormond Street Institute of Child Health, University College London https://dresa.org.au/events/introduction-to-echild-education-and-child-health-insights-from-linked-data-with-great-ormond-street-institute-of-child-health-university-college-london This short course is designed to give participants a practical introduction to ECHILD (Educational and Child Health Insights from Linked Data). ECHILD is a collection of linked, longitudinal administrative datasets covering health, education and children’s social care. The course is aimed at both analysts intending to use ECHILD and researchers who want to understand more about how the data can be used for policy relevant research. This course includes a mixture of lectures and practical sessions that will enable participants to put theory into practice.   2024-11-20 20:00:00 UTC 2024-11-22 04:00:00 UTC Great Ormond Street Institute of Child Health, University College London Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Web App Development with R Shiny with Fodil Ihaddaden, Institute for Statistical and Data Science

    21 - 22 November 2024

    Introduction to Web App Development with R Shiny with Fodil Ihaddaden, Institute for Statistical and Data Science https://dresa.org.au/events/introduction-to-web-app-development-with-r-shiny-with-fodil-ihaddaden-institute-for-statistical-and-data-science This workshop provides an extensive introduction to developing interactive web applications using R Shiny, enabling participants to create, deploy, and optimize data-driven web tools. Ideal for PhD students, professors, and researchers, the course covers fundamental and advanced concepts tailored to enhance research presentation and real-time analytical communication across various scientific domains. 2024-11-21 00:00:00 UTC 2024-11-22 06:00:00 UTC Fodil Ihaddaden, Institute for Statistical and Data Science Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Meta-Analysis with Centre for Applied Statistics Courses (CASC), University College London

    21 - 23 November 2024

    Introduction to Meta-Analysis with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-meta-analysis-with-centre-for-applied-statistics-courses-casc-university-college-london This brief 'Introduction to Meta-Analysis' workshop by University College London (UCL) provides an overview of meta-analysis from a statistical point of view, with an optional half day workshop in R and Stata. The seminar covers a wide range of topics, including interpreting results and writing a report, making it ideal for PhD students, professors, and professional researchers across various fields. 2024-11-21 00:30:00 UTC 2024-11-23 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []
  • Item Response Theory in R and IRTPRO with Michael Toland, Department of Educational Studies, University of Toledo

    21 - 22 November 2024

    Item Response Theory in R and IRTPRO with Michael Toland, Department of Educational Studies, University of Toledo https://dresa.org.au/events/item-response-theory-in-r-and-irtpro-with-michael-toland-department-of-educational-studies-university-of-toledo This seminar provides a comprehensive introduction to Item Response Theory (IRT), covering fundamental concepts, model specification, parameter estimation, and practical applications using R and IRTPRO. Participants will gain hands-on experience and theoretical knowledge to enhance the quality and precision of their research, with an official Instats certificate of completion provided at the end. 2024-11-21 02:00:00 UTC 2024-11-22 08:00:00 UTC Michael Toland, Department of Educational Studies, University of Toledo Instats info@instats.org [] [] [] open_to_all []
  • Using AI for Text Analysis with Seraphine Maerz, School of Social and Political Science, University of Melbourne

    26 November 2024

    Using AI for Text Analysis with Seraphine Maerz, School of Social and Political Science, University of Melbourne https://dresa.org.au/events/using-ai-for-text-analysis-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. 2024-11-26 10:00:00 UTC 2024-11-26 16:00:00 UTC Seraphine Maerz, School of Social and Political Science, University of Melbourne Instats info@instats.org [] [] [] open_to_all []
  • Single Cell Data Analysis with Nikolay Oskolkov, Molecular Biosciences, Lund University

    26 - 27 November 2024

    Single Cell Data Analysis with Nikolay Oskolkov, Molecular Biosciences, Lund University https://dresa.org.au/events/single-cell-data-analysis-with-nikolay-oskolkov-molecular-biosciences-lund-university This one-day workshop provides a comprehensive overview of single-cell data analysis, focusing on the advanced computational tools and methodologies required to interpret cellular heterogeneity using single-cell RNA sequencing technologies. Participants will gain practical skills in preprocessing, clustering, and integrating datasets, leveraging powerful R and Python libraries, with an emphasis on biological inference and real-world applications in fields such as cancer research and immunology. 2024-11-26 19:00:00 UTC 2024-11-27 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all []
  • Single Cell Data Analysis with Nikolay Oskolkov, Molecular Biosciences, Lund University

    28 - 29 November 2024

    Single Cell Data Analysis with Nikolay Oskolkov, Molecular Biosciences, Lund University https://dresa.org.au/events/single-cell-data-analysis-with-nikolay-oskolkov-molecular-biosciences-lund-university-c2fcbed8-26bf-433d-a117-2b8599e574e8 This one-day workshop provides a comprehensive overview of single-cell data analysis, focusing on the advanced computational tools and methodologies required to interpret cellular heterogeneity using single-cell RNA sequencing technologies. Participants will gain practical skills in preprocessing, clustering, and integrating datasets, leveraging powerful R and Python libraries, with an emphasis on biological inference and real-world applications in fields such as cancer research and immunology. 2024-11-28 19:00:00 UTC 2024-11-29 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Survey Methodology with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex

    28 - 30 November 2024

    Introduction to Survey Methodology with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex https://dresa.org.au/events/introduction-to-survey-methodology-with-tarek-al-baghal-institute-of-social-and-economic-research-university-of-essex Survey methodology is critical in social science research for understanding human behavior and to inform policy decisions. This two-day workshop, led by Dr. Tarek Al Baghal and Dr. Alexandru Cernat, equips students and researchers with foundational and advanced knowledge in survey methodology and data collection. Participants will learn to design effective surveys, minimize errors, and conduct robust, credible research. 2024-11-28 20:30:00 UTC 2024-11-30 03:30:00 UTC Tarek Al Baghal, Institute of Social and Economic Research, University of Essex Instats info@instats.org [] [] [] open_to_all []
  • Lesson from Nature for Peace and Cooperation with Alexandre Roulin, Department of Ecology and Evolution, University of Lausanne

    4 December 2024

    Lesson from Nature for Peace and Cooperation with Alexandre Roulin, Department of Ecology and Evolution, University of Lausanne https://dresa.org.au/events/lesson-from-nature-for-peace-and-cooperation-with-alexandre-roulin-department-of-ecology-and-evolution-university-of-lausanne This seminar, led by Professor Alexandre Roulin, explores the unique social behaviors of Barn Owls as a source of inspiration for peace and cooperation among human communities, integrating insights from biology, psychology, and international relations. Participants will gain valuable knowledge in evolutionary biology and learn interdisciplinary approaches to address global challenges. 2024-12-04 02:00:00 UTC 2024-12-04 03:00:00 UTC Alexandre Roulin, Department of Ecology and Evolution, University of Lausanne Instats info@instats.org [] [] [] open_to_all []
  • Operations, Finance, and Stock Market Performance (Free Seminar) with Yao Zhao, Rutgers Business School, Rutgers University

    4 December 2024

    Operations, Finance, and Stock Market Performance (Free Seminar) with Yao Zhao, Rutgers Business School, Rutgers University https://dresa.org.au/events/operations-finance-and-stock-market-performance-free-seminar-with-yao-zhao-rutgers-business-school-rutgers-university This seminar explores the interplay between operations, finance, and stock market performance. Participants will gain quantitative insights into how operational decisions impact financial outcomes and subsequently stock market movements, utilizing vast and free business and financial databases like SCDATA.AI for sophisticated data analysis and predictive analytics, and using recent examples like Amazon, Intel, Boeing and Tesla. 2024-12-04 06:00:00 UTC 2024-12-04 07:30:00 UTC Yao Zhao, Rutgers Business School, Rutgers University Instats info@instats.org [] [] [] open_to_all []
  • Integration in Mixed Methods Research: Principles and Practices with Sergi Fabregues, Department of Psychology and Education, Universitat Oberta de Catalunya and Mixed Methods Program, University of Michigan

    7 December 2024

    Integration in Mixed Methods Research: Principles and Practices with Sergi Fabregues, Department of Psychology and Education, Universitat Oberta de Catalunya and Mixed Methods Program, University of Michigan https://dresa.org.au/events/integration-in-mixed-methods-research-principles-and-practices-with-sergi-fabregues-department-of-psychology-and-education-universitat-oberta-de-catalunya-and-mixed-methods-program-university-of-michigan The integration of quantitative and qualitative components is the most challenging part of a mixed methods study, and therefore integration procedures and strategies are crucial for authors to obtain the maximum added value from their mixed methods studies. This two-day seminar focuses on the principles and practice of integration in mixed methods research. 2024-12-07 00:00:00 UTC 2024-12-07 05:00:00 UTC Sergi Fabregues, Department of Psychology and Education, Universitat Oberta de Catalunya and Mixed Methods Program, University of Michigan Instats info@instats.org [] [] [] open_to_all []
  • Survival Analysis for Social and Health Science with Kevin Grimm, Department of Psychology, Arizona State University

    7 December 2024

    Survival Analysis for Social and Health Science with Kevin Grimm, Department of Psychology, Arizona State University https://dresa.org.au/events/survival-analysis-for-social-and-health-science-with-kevin-grimm-department-of-psychology-arizona-state-university This one-day workshop provides a comprehensive introduction to survival analysis, focusing on its application in social and health sciences. Participants will gain hands-on experience with Mplus, R, and SAS, and learn to analyze survival data effectively. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2024-12-07 02:00:00 UTC 2024-12-07 06:00:00 UTC Kevin Grimm, Department of Psychology, Arizona State University Instats info@instats.org [] [] [] open_to_all []
  • Survival Analysis for Social and Health Science with Kevin Grimm, Department of Psychology, Arizona State University

    7 December 2024

    Survival Analysis for Social and Health Science with Kevin Grimm, Department of Psychology, Arizona State University https://dresa.org.au/events/survival-analysis-for-social-and-health-science-with-kevin-grimm-department-of-psychology-arizona-state-university-7ed777c9-d3d8-4431-9d48-70a61fc83349 This one-day workshop provides a comprehensive introduction to survival analysis, focusing on its application in social and health sciences. Participants will gain hands-on experience with Mplus, R, and SAS, and learn to analyze survival data effectively. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2024-12-07 02:00:00 UTC 2024-12-07 06:00:00 UTC Kevin Grimm, Department of Psychology, Arizona State University Instats info@instats.org [] [] [] open_to_all []
  • Multilevel Modeling and Multilevel SEM with Michael Zyphur, University of Queensland and Instats

    10 - 11 December 2024

    Multilevel Modeling and Multilevel SEM with Michael Zyphur, University of Queensland and Instats https://dresa.org.au/events/multilevel-modeling-and-multilevel-sem-with-michael-zyphur-university-of-queensland-and-instats This seminar introduces the Mplus multilevel latent variable modeling framework and describes multilevel variance/effect decomposition, random/fixed effects (random slopes), and then explores multilevel path analysis, multilevel CFA, and multilevel SEM. Topics include ways to handle strong correlations at the between-group level, indirect effects (multilevel mediation), interaction effects (multilevel moderation), and conditional indirect effects (multilevel moderated mediation). 2024-12-10 10:00:00 UTC 2024-12-11 15:30:00 UTC Michael Zyphur, University of Queensland and Instats Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Git (Free Seminar) with Data Umbrella

    11 December 2024

    Introduction to Git (Free Seminar) with Data Umbrella https://dresa.org.au/events/introduction-to-git-free-seminar-with-data-umbrella Join us for an introductory session on Git, the quintessential version control software used by developers to collaborate and manage projects. Discover some fundamental concepts, explore its practical applications, and learn how to efficiently use both the command line and the Visual Studio Code graphical user interface (GUI). Whether you're a seasoned developer or just starting your coding journey, this webinar will equip you with essential skills. 2024-12-11 04:00:00 UTC 2024-12-11 05:30:00 UTC Data Umbrella Instats info@instats.org [] [] [] open_to_all []
  • Intensive Longitudinal Methods: Design and Analysis in Mplus with Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne

    12 - 13 December 2024

    Intensive Longitudinal Methods: Design and Analysis in Mplus with Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne https://dresa.org.au/events/intensive-longitudinal-methods-design-and-analysis-in-mplus-with-peter-koval-melbourne-school-of-psychological-sciences-university-of-melbourne This two-day workshop provides a comprehensive understanding of intensive longitudinal methods essential for capturing dynamic processes over time, with a focus on using Mplus for data analysis. Participants will gain practical skills in designing, analyzing, and interpreting intensive longitudinal data, enhancing the rigor and impact of their research. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2024-12-12 10:00:00 UTC 2024-12-13 15:30:00 UTC Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne Instats info@instats.org [] [] [] open_to_all []
  • Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics

    18 December 2024

    Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://dresa.org.au/events/principles-of-data-visualization-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This seminar provides an essential introduction to the principles of data visualization for academic researchers and professionals. It focuses on understanding how to effectively communicate quantitative information through visual means, with an emphasis on audience-centric design. Attendees will learn how to select appropriate chart types, declutter visualizations, and enhance clarity, all without relying on a specific software tool. This course is designed to improve data storytelling and ensure that visual presentations of data are both accurate and compelling. 2024-12-18 17:00:00 UTC 2024-12-18 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all []
  • Bayesian Spatial and Spatio-Temporal Health Modeling in R with Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina

    8 - 11 January 2025

    Bayesian Spatial and Spatio-Temporal Health Modeling in R with Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina https://dresa.org.au/events/bayesian-spatial-and-spatio-temporal-health-modeling-in-r-with-andrew-lawson-department-of-public-health-sciences-medical-university-of-south-carolina This workshop provides a comprehensive introduction to advanced techniques for analyzing spatial and spatio-temporal data. While the examples used will be primarily from the health sciences, this four-day hands-on workshop is designed to equip PhD students, professors, and professional researchers with the skills to conduct cutting-edge research in various fields, including Geography, Epidemiology, Public Health, Biostatistics, Ecology, Sociology, and Political Science. 2025-01-08 01:00:00 UTC 2025-01-11 04:00:00 UTC Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Research Methods and Statistics with Centre for Applied Statistics Courses (CASC), University College London

    13 - 18 January 2025

    Introduction to Research Methods and Statistics with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-research-methods-and-statistics-with-centre-for-applied-statistics-courses-casc-university-college-london This intensive 5-day workshop provides a comprehensive introduction to research methods and statistics, equipping participants with practical skills in statistical methodologies essential for high-quality research. Participants will explore a variety of topics, including data collection, hypothesis testing, and multivariate analysis, while enhancing their ability to apply statistical methods confidently in diverse research contexts. 2025-01-13 20:30:00 UTC 2025-01-18 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Nonlinear Dynamical Systems and Analysis with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs

    14 - 15 January 2025

    Introduction to Nonlinear Dynamical Systems and Analysis with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs https://dresa.org.au/events/introduction-to-nonlinear-dynamical-systems-and-analysis-with-bernard-ricca-lyda-hill-institute-for-human-resilience-university-of-colorado-colorado-springs This seminar introduces nonlinear dynamical systems analyses tailored for researchers in the social, behavioral, and economic sciences, providing a framework to model complex human behavior and societal interactions. Participants will gain hands-on expertise in using R for nonlinear dynamical systems modeling, exploring concepts such as fixed points, stability, and attractors, with practical applications to enhance their research approaches. 2025-01-14 03:00:00 UTC 2025-01-15 08:00:00 UTC Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs Instats info@instats.org [] [] [] open_to_all []
  • Meta-Analysis: An Introductory Course with Michael Borenstein, Biostat, Inc.

    14 - 17 January 2025

    Meta-Analysis: An Introductory Course with Michael Borenstein, Biostat, Inc. https://dresa.org.au/events/meta-analysis-an-introductory-course-with-michael-borenstein-biostat-inc This four-day workshop provides the knowledge and skills needed to start conducting and reporting the results of meta-analyses. An emphasis is placed on the two primary types of meta-analysis: fixed-effects versus random-effects models. Each topic will be introduced at the conceptual level, followed by worked examples and exercises so that participants will feel comfortable performing these analyses on their own. All sessions include time for an extensive discussion. 2025-01-14 03:00:00 UTC 2025-01-17 09:00:00 UTC Michael Borenstein, Biostat, Inc. 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)

    14 - 15 January 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 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. 2025-01-14 22:00:00 UTC 2025-01-15 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 []
  • Remote Sensing in Ecology with imageRy for R with Duccio Rocchini, University of Bologna

    15 - 19 January 2025

    Remote Sensing in Ecology with imageRy for R with Duccio Rocchini, University of Bologna https://dresa.org.au/events/remote-sensing-in-ecology-with-imagery-for-r-with-duccio-rocchini-university-of-bologna This seminar, led by Duccio Rocchini, provides an in-depth exploration of how remote sensing can enhance ecological research, focusing on the use of the imageRy R package for data analysis. Participants will gain practical skills in processing satellite imagery, mapping vegetation, assessing biodiversity, and integrating spatial data, equipping them to effectively incorporate remote sensing into their ecological studies. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-15 23:00:00 UTC 2025-01-19 05:00:00 UTC Duccio Rocchini, University of Bologna 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 []
  • Introduction to R for Data Analysis with Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine

    16 - 17 January 2025

    Introduction to R for Data Analysis with Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine https://dresa.org.au/events/introduction-to-r-for-data-analysis-with-rebecca-barter-division-of-epidemiology-university-of-utah-school-of-medicine This seminar provides a comprehensive introduction to R programming for data analysis, tailored to social scientists, epidemiologists, and researchers across various fields. Participants will learn essential skills in data manipulation, visualization, and statistical analysis, enabling them to improve their research methodologies by effectively using R. 2025-01-16 04:00:00 UTC 2025-01-17 10:00:00 UTC Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine Instats info@instats.org [] [] [] open_to_all []

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