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24 events found

Keywords: Statistics 

  • WEBINAR: Getting started with R

    16 August 2021

    WEBINAR: Getting started with R https://dresa.org.au/events/webinar-getting-started-with-r Data analysis skills are now central to most biological experiments. While Excel can cover some of your data analysis needs, it is not always the best choice, particularly for large and complex datasets. R is an open-source software and programming language that enables data exploration, statistical analysis visualisation and more. While it is the tool of choice for data analysis, getting started can be a little daunting for those without a background in statistics. In this webinar Saskia Freytag, an R user with over a decade of experience and member of the [Bioconductor Community Advisory Board](https://www.bioconductor.org/about/community-advisory-board/), will walk you through their hints and tips for getting started with R and data analysis. She’ll cover topics like [R Studio](https://www.rstudio.com/) and why you need it, where to get help, basic data manipulation, visualisations and extending R with libraries. The webinar will be followed by a short Q&A session. **Who the webinar is for** Aspiring data analysts from a variety of biological fields **Presenter**: Dr Saskia Freytag, Postdoctoral Fellow, Harry Perkins Institute of Medical Research. **Date/time:** 16 August 2021 - 12:00-13:00 AEST / 11:30 - 12:30 ACST / 10:00-11:00 AWST **How to join** This webinar is free to join but you must register for a place in advance. **[Register here](https://unimelb.zoom.us/webinar/register/WN_j3bXauUDQwW_q64JgnvdpQ)** 2021-08-16 12:00:00 UTC 2021-08-16 13:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons Melissa (melissa@biocommons.org.au) [] [] 500 webinar open_to_all R softwareBioinformaticsComputer ScienceStatistics
  • Basic Statistics with R

    30 - 31 May 2022

    Bundoora, Australia

    Basic Statistics with R https://dresa.org.au/events/basic-statistics-with-r BASIC STATISTICS WITH R introduces statistical concepts in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2022-05-30 09:00:00 UTC 2022-05-31 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2 Room 330, Bundoora, Australia Physical sciences 2 Room 330 Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researcherresearch students 20 workshop open_to_all StatisticsR statistical software
  • Basic Statistics with Stata

    2 - 3 June 2022

    Bundoora, Australia

    Basic Statistics with Stata https://dresa.org.au/events/basic-statistics-with-stata WHAT IS STATA? Stata is a statistical software package which is particularly popular among researchers from a diverse range of fields. BASIC STATISTICS WITH STATA introduces statistical concepts in a non-technical way and emphasises their practical application in Stata. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2022-06-02 09:00:00 UTC 2022-06-03 15:00:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2 building, room 330, Bundoora, Australia Physical sciences 2 building, room 330 Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students 20 workshop open_to_all STATAStatistics
  • Intermediate Statistics with R: Regression Analysis

    6 - 7 June 2022

    Bundoora, Australia

    Intermediate Statistics with R: Regression Analysis https://dresa.org.au/events/intermediate-statistics-with-r-regression-analysis INTERMEDIATE STATISTICS WITH R introduces various types of regression models in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2022-06-06 09:00:00 UTC 2022-06-07 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2, Kurt Gödel Laboratory, room 330., Bundoora, Australia Physical sciences 2, Kurt Gödel Laboratory, room 330. Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop open_to_all R statistical softwareStatistics
  • Sample Size Calculation Workshop

    8 June 2022

    Bundoora, Australia

    Sample Size Calculation Workshop https://dresa.org.au/events/sample-size-calculation-workshop WHAT IS G*POWER? G*Power is a free statistical software package for power and sample size analysis. It offers point-and-click functionality and covers a wide variety of statistical tests. In this 1-day workshop, concepts of statistical power and relevant statistical tests are covered in a non-technical way. Designed to be hands-on, the workshop focuses on the practical application of statistical methods. There will be plenty of opportunities to access in-class support. 2022-06-08 09:00:00 UTC 2022-06-08 15:00:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2, Room 330 (Kurt Gödel Lab), Bundoora, Australia Physical sciences 2, Room 330 (Kurt Gödel Lab) Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students 20 workshop open_to_all G*PowerStatisticssample size calculation
  • Introduction to SQL, Crash Course

    28 - 29 June 2022

    Introduction to SQL, Crash Course https://dresa.org.au/events/introduction-to-sql-crash-course Our objective is to build a strong foundation and intuition, with an emphasis on retrieving and transforming data without making mistakes or suffering immensely. SQL skills are in very high demand, as a core skill for data scientists. Learning SQL will also help you think logically about the structure of data sets. The workshop is online, with plenty of interactivity and opportunities for one-on-one support from the instructor, who has a deep love-hate relationship with SQL, and is passionate about making it easier and more fun for everyone. It comes with a big detailed textbook, with lots of practice exercises. After the workshop, you're invited to contact the instructor for follow up questions, as you continue practicing. 2022-06-28 09:00:00 UTC 2022-06-29 17:00:00 UTC La Trobe University Statistics Consultancy Platform Online, La Trobe University, Australia Online La Trobe University Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] research studentsresearchers 20 workshop open_to_all SQLStatistics
  • Introduction to Mixed Effects Modelling: Online

    16 - 17 September 2022

    Introduction to Mixed Effects Modelling: Online https://dresa.org.au/events/introduction-to-mixed-effects-modelling This course is designed as an introduction to mixed effects modelling. These models involve data arising from longitudinal studies or studies where the data exhibits some form of hierarchy, and sometimes referred to as multilevel modelling. Mixed effects modelling is used when observations are not independent of each other (e.g., clustered data, repeated measures). This type of analysis is regularly used in such areas as educational research, when studying the performance of students within schools, and in medical research when investigating the outcomes over time following major trauma. Mixed effects refer to the inclusion of both fixed effects (i.e., the variables that are constant across individuals), and random effects (i.e., account for variability among subjects around the relationships captured by the fixed effects). This course will be discussing the linear mixed effects models, in which the outcome of interest is continuous. Discussion of some of the uses of mixed effects models in publications will be discussed at the end of the course. 2022-09-16 09:30:00 UTC 2022-09-17 16:30:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all StatisticsRmixed effectsmultilevel modellinglongitudinal data
  • Structural Equation Modelling using Stata: Online

    28 - 29 October 2022

    Structural Equation Modelling using Stata: Online https://dresa.org.au/events/structural-equation-modelling-using-stata-online This course is designed for participants with an introductory-level understanding of the statistical methods of regression analysis and exploratory factor analysis. Participants will experience hands-on SEM examples and have the ability to build their own Stata SEM models. This workshop is targeted at those researchers who wish to expand their understanding of this highly powerful technique. SEM has been utilised in many areas of research from psychology to medicine. 2022-10-28 09:00:00 UTC 2022-10-29 17:00:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Structural equation modellingSEMStatisticsSTATA
  • Basic Statistics with R

    16 - 17 November 2022

    Basic Statistics with R https://dresa.org.au/events/basic-statistics-with-r-921ccf3c-bef2-4649-a2d1-d4f865d018a8 Learn a simple yet powerful way to design and carry out statistical analyses in R - like a real statistician! This two day workshop introduces statistical concepts in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and access support from our expert statisticians. 2022-11-16 09:00:00 UTC 2022-11-17 15:30:00 UTC La Trobe University Statistics Consultancy Platform Hybrid: via Zoom or in person at Physical sciences 2, Bundoora, Australia Hybrid: via Zoom or in person at Physical sciences 2 Bundoora Australia 3086 La Trobe University For more information contact Statistics.Consultancy@latrobe.edu.au [] Researchers and HDR students – especially those involved in the health sciences, social sciences, life sciences and psychological sciences – or anyone who wants to learn basic statistical concepts to apply in R. [] open_to_all RStatisticsR statistical software
  • Basic Statistics with STATA

    23 - 24 November 2022

    Bundoora, Australia

    Basic Statistics with STATA https://dresa.org.au/events/basic-statistics-with-r-ff5ee64c-dc17-4ae1-b2f6-47d760caaed2 Learn a simple yet powerful way to design and carry out analyses in Stata. This workshop introduces statistical concepts in a non-technical way and emphasises their practical application in Stata. Participants will have plenty of opportunities to gain hands-on experience and access in-class support. 2022-11-23 09:00:00 UTC 2022-11-24 15:30:00 UTC La Trobe University Statistics Consultancy Platform Hybrid: via Zoom or in person at Physical sciences 2, Bundoora, Australia Hybrid: via Zoom or in person at Physical sciences 2 Bundoora Australia 3086 La Trobe University For more information contact Statistics.Consultancy@latrobe.edu.au [] Researchers and HDR students – especially those involved in the health sciences, social sciences, life sciences and psychological sciences – or anyone who wants to learn basic statistical concepts to apply in R. workshop open_to_all STATAStatisticsstatistical softwareStatistical Methods
  • Intermediate Statistics with R: Regression Analysis

    29 - 30 November 2022

    Bundoora, Australia

    Intermediate Statistics with R: Regression Analysis https://dresa.org.au/events/intermediate-statistics-with-r-regression-analysis-79b8a5af-e3b6-4959-b33b-9fa99d546037 The thrilling sequel to the extremely popular 'Basic Statistics with R' takes statistics to the next level! Amanda shakes it up in this two day workshop introducing various types of regression models in a non-technical way and demonstrates their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and access support from our expert statisticians. 2022-11-29 09:00:00 UTC 2022-11-30 15:30:00 UTC La Trobe University Statistics Consultancy Platform Hybrid: via Zoom or in person at Physical sciences 2, Bundoora, Australia Hybrid: via Zoom or in person at Physical sciences 2 Bundoora Australia 3086 La Trobe University For more information contact Statistics.Consultancy@latrobe.edu.au [] Researchers and HDR students, or anyone who wants to learn intermediate statistical concepts to apply in R workshop open_to_all RStatisticsstatistical softwareStatistical MethodsR statisticsR statistical softwareRegression analysis
  • Sample Size Calculation Workshop

    1 December 2022

    Sample Size Calculation Workshop https://dresa.org.au/events/sample-size-calculation-workshop-faaee685-a51d-4b6f-9eb3-e4c53eac5707 Using free software for sample size and statistical power calculations G*Power is a free statistical software package for power and sample size analysis. It offers point-and-click functionality and covers a wide variety of statistical tests. The workshop includes concepts of statistical power and relevant statistical tests presented in a non-technical way. Designed to be hands-on, the workshop focuses on the practical application of statistical methods. 2022-12-01 09:00:00 UTC 2022-12-01 15:00:00 UTC La Trobe University Statistics Consultancy Platform Hybrid: via Zoom or in person at Physical sciences 2, Bundoora, Australia Hybrid: via Zoom or in person at Physical sciences 2 Bundoora Australia 3086 La Trobe University For more information contact Statistics.Consultancy@latrobe.edu.au. [] Researchers and HDRs – especially those involved in the health sciences, life sciences and psychological sciences – or anyone who wants to learn about statistical power and sample size analysis. workshopwebinar open_to_all sample size calculationStatisticsapplied statisticsG*Power
  • Multi-level Analysis using Mplus: Online

    16 - 20 January 2023

    Multi-level Analysis using Mplus: Online https://dresa.org.au/events/multi-level-analysis-using-mplus-online This course is designed as an introduction to the concepts and techniques required to analyse data that is multi-level in nature. (That is, data that is derived from subjects who are nested within groups or data that involves repeated measures that are nested within subjects) In conventional regression analysis it is assumed that subjects are randomly selected and, therefore, all the variance in your dependent variables is due solely to variation amongst individuals. However, in most studies, subjects are clustered within a group and multiple groups are sampled. For example, in an education study, we may have students clustered within multiple classes; in a human resourcing study, we may have employees clustered within multiple work units or teams. In such sampling, although some of the variance in your dependent variables will be due to variation amongst individuals, some the variance in your dependent variables will also be due to variation amongst the groups themselves. In such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. Repeated measure designs should also be analysed using multilevel analysis because the repeated observations are nested within subjects. For example, in a marketing study, we may have repeated measures of consumers’ attitudes to a brand over the life of a marketing campaign; in an epidemiology study, we may have repeated measures of a health outcome over the life of a drug treatment regime. In such studies, although some of the variance in your dependent variables will be due to variation across the various time occasions, some the variance in your dependent variables will also be due to variation amongst individuals themselves. Again, in such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. 2023-01-16 10:00:00 UTC 2023-01-20 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all multilevel modellingSEMStatistical MethodsStatistics
  • Fundamentals of Statistics: Online

    16 - 20 January 2023

    Fundamentals of Statistics: Online https://dresa.org.au/events/fundamentals-of-statistics-online In this course you will obtain a solid foundation in basic statistical concepts and procedures to progress with some confidence into more advanced topics. This is an introductory unit in statistical methods with the emphasis on statistical techniques applicable to the social sciences, although these introductory techniques are also appropriate to the health sciences. Key examples from journal articles will be presented to illustrate the use and reporting of the statistical techniques covered in this unit. Our approach to learning will be largely non-mathematical, concentrating on concepts rather than mathematical theory. Participants familiar with the use of a statistical software package, but lacking statistical training should also start with this course. SOFTWARE The course will be using the free and open-source software jamovi. The software jamovi can be downloaded from https://www.jamovi.org.download.html While jamovi is built on top of the R statistical language, it has a look and feel very similar to IBM SPSS Statistics and in many ways is easier to use. Depending on student preferences, there will be an opportunity to use IBM SPSS Statistics v28. Instructions will be provided for both packages and students can choose either jamovi or IBM Statistics v28. 2023-01-16 10:00:00 UTC 2023-01-20 16:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Fundamentals of StatisticsStatistical MethodsJamoviquantitativeStatistics
  • Fundamentals of Statistics

    30 January - 3 February 2023

    Melbourne, Australia

    Fundamentals of Statistics https://dresa.org.au/events/fundamentals-of-statistics In this course, you will obtain a solid foundation in basic statistical concepts and procedures to progress with some confidence into more advanced topics. This is an introductory unit in statistical methods emphasising statistical techniques applicable to the social sciences, although these introductory techniques are also relevant to the health sciences. Key examples from journal articles will illustrate the use and reporting of the statistical techniques covered in this unit. The approach to learning will be largely non-mathematical, concentrating on concepts rather than mathematical theory. Software The course will use the free and open-source software jamovi, which can be downloaded from https://www.jamovi.org/download.html. While jamovi is built on top of the R statistical language, it has a look and feel very similar to IBM SPSS Statistics and is easier to use in many ways. Depending on student preferences, there will be an opportunity to use IBM SPSS Statistics v28. Instructions will be provided for both packages, and students can choose to use either jamovi or IBM SPSS Statistics v28. 2023-01-30 09:00:00 UTC 2023-02-03 16:00:00 UTC ACSPRI University of Melbourne, Melbourne, Australia University of Melbourne Melbourne Australia ACSPRI info@acspri.org.au [] [] 20 workshop open_to_all Fundamentals of StatisticsStatisticsJamoviStatistical Methodsquantitative
  • Applied Statistical Procedures: Online

    6 - 10 February 2023

    Applied Statistical Procedures: Online https://dresa.org.au/events/applied-statistical-procedures-online This is an intermediate, applied course covering a range of the most commonly used statistical procedures. Research design, Experimental, Quasi-Experimental and Non-Experimental, will be covered so students can select the best design and statistical procedure for a research project, and to clarify exactly what claims can be made in relation to findings. It aims to provide participants with an ability to understand, run and interpret procedures. This course will further enhance your ability to understand research-based literature. The level falls between ‘Fundamentals of Statistics’, and the more detailed single procedure based courses. This course will provide a good foundation for progression to the more detailed courses in (Multiple) Regression, Factor Analysis, SEM and Latent Variables using Mplus. On completing this course you should be able to read and understand literature where these procedures are reported, select the appropriate statistical procedure for research, run the procedure, and report the results from an informed base of understanding. The course is taught from an applied prospective, with questions encouraged. The statistical package employed will be SPSS. No prior knowledge of SPSS is required. 2023-02-06 10:00:00 UTC 2023-02-10 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] workshop open_to_all StatisticsStatistical Methodsapplied statistics SPSS
  • Data Analysis Using Stata: Online

    6 - 10 February 2023

    Data Analysis Using Stata: Online https://dresa.org.au/events/data-analysis-using-stata-online Stata is a comprehensive integrated package for data management, analysis and graphics. Stata has a comprehensive GUI interface. Sample datasets will be provided, but you are encouraged to bring some of your own data for analysis in Excel or ASCII format. Teaching and practice will be closed integrated. Private consultations will be allocated during the course as needed. The course is suitable for beginners to the Stata package and will be presented in a way that introduces survey research. It is also appropriate to those familiar with Stata as it extends the capabilities of more experienced researchers. 2023-02-06 10:00:00 UTC 2023-02-10 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all STATAapplied statisticsStatistical MethodsStatistics
  • Fundamentals of Multiple Regression: Online

    6 - 10 February 2023

    Fundamentals of Multiple Regression: Online https://dresa.org.au/events/fundamentals-of-multiple-regression-online The course is designed for those who have limited knowledge and experience with multivariate statistical techniques and are seeking the knowledge and skills to use multiple regression for research at a post-graduate level and/or to publish in professional research journals. Particular attention is given to the application of multiple regression to substantive problems in the social and behavioral sciences. (See Course Program below.) By the end of the course, you will understand the principles of multiple regression, and be able to conduct regression analyses, interpret the results, obtain regression diagnostics to test the underlying model assumptions and write-up the results for publication. The course notes provide instructions for using the major statistical packages (SPSS, SAS, Stata) for regression. Participants who are considering regression analysis of their own data are encouraged and there will be time for individual consultations. This course provides the foundations necessary for progression to ‘Applied Multiple Regression Analysis’, and to subsequent advanced-level courses in structural equation modelling and multi-level analysis. 2023-02-06 10:00:00 UTC 2023-02-10 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Multiple RegressionquantitativeStatisticsStatistical Methodsapplied statistics
  • Advanced Statistical Analysis Using R: Online

    6 - 10 February 2023

    Advanced Statistical Analysis Using R: Online https://dresa.org.au/events/advanced-statistical-analysis-using-r-online R is a free software environment for scientific and statistical computing and graphics that runs on all common computing platforms. An active and highly skilled developer community works on development and improvement. It has become an environment of choice for the implementation of new methodology. It is at the same time attracting wide attention from statistical application area specialists. The powerful and innovative graphics abilities available in R include the provision of well-designed publication-quality plots. The first day of this course will focus on the R software environment, the remaining days of this workshop will focus on learning advanced statistical methods with R. We will spend an almost equal amount of time in PowerPoint sessions and computer exercises. During the PowerPoint sessions the focus will be on the statistical methods with minimal discussion of computer software. During the computer exercise time you will be using R to apply the statistical methods taught in the lectures. At the start of each session of computer exercises Mark will perform the first exercise in each set on his own computer demonstrating to the class the use of the software and the statistical results obtained. 2023-02-06 10:00:00 UTC 2023-02-10 17:00:00 UTC ACSPRI Online Online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R statisticsStatistical MethodsStatisticsR statistical software
  • Introductory Statistics Online

    2 October - 10 November 2023

    Introductory Statistics Online https://dresa.org.au/events/introductory-statistics-online This six week online course introduces students to the basics of applied statistics used in disciplines including psychology, biology, medicine, health, engineering, business, sociology and the arts. The three main areas of study are descriptive statistics, probability distributions and statistical inference. The SPSS statistical computing package is an integral part of the course. 2023-10-02 09:00:00 UTC 2023-11-10 17:00:00 UTC La Trobe University Statistics Consultancy Platform La Trobe University, Kingsbury Drive, Bundoora, Australia La Trobe University, Kingsbury Drive Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students 30 workshop open_to_all StatisticsFundamentals of Statistics SPSS
  • Basic Statistics with Stata (hybrid)

    9 - 10 November 2023

    Bundoora, Australia

    Basic Statistics with Stata (hybrid) https://dresa.org.au/events/basic-statistics-with-stata-hybrid WHAT IS STATA? Stata is a statistical software package which is particularly popular among researchers from a diverse range of fields. BASIC STATISTICS WITH STATA introduces statistical concepts in a non-technical way and emphasises their practical application in Stata. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2023-11-09 09:00:00 UTC 2023-11-10 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2 building, room 330 or online via Zoom, Bundoora, Australia Physical sciences 2 building, room 330 or online via Zoom Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students 20 workshop open_to_all STATAStatistics
  • Basic Statistics with R (hybrid)

    13 - 14 November 2023

    Bundoora, Australia

    Basic Statistics with R (hybrid) https://dresa.org.au/events/basic-statistics-with-r-hybrid BASIC STATISTICS WITH R introduces statistical concepts in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2023-11-13 09:00:00 UTC 2023-11-14 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2 Room 330 or Zoom. , Bundoora, Australia Physical sciences 2 Room 330 or Zoom. Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researcherresearch students 20 workshop open_to_all StatisticsR statistical software
  • Sample Size Calculation Workshop (hybrid)

    15 November 2023

    Bundoora, Australia

    Sample Size Calculation Workshop (hybrid) https://dresa.org.au/events/sample-size-calculation-workshop-hybrid WHAT IS G*POWER? G*Power is a free statistical software package for power and sample size analysis. It offers point-and-click functionality and covers a wide variety of statistical tests. In this 1-day workshop, concepts of statistical power and relevant statistical tests are covered in a non-technical way. Designed to be hands-on, the workshop focuses on the practical application of statistical methods. There will be plenty of opportunities to access in-class support. 2023-11-15 09:00:00 UTC 2023-11-15 15:00:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2, Room 330 (Kurt Gödel Lab), or online via Zoom., Bundoora, Australia Physical sciences 2, Room 330 (Kurt Gödel Lab), or online via Zoom. Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students 20 workshop open_to_all G*PowerStatisticssample size calculation
  • Intermediate Statistics with R: Regression Analysis (hybrid)

    23 - 24 November 2023

    Bundoora, Australia

    Intermediate Statistics with R: Regression Analysis (hybrid) https://dresa.org.au/events/intermediate-statistics-with-r-regression-analysis-hybrid INTERMEDIATE STATISTICS WITH R introduces various types of regression models in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2023-11-23 09:00:00 UTC 2023-11-24 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2, Kurt Gödel Laboratory, room 330, or online via Zoom., Bundoora, Australia Physical sciences 2, Kurt Gödel Laboratory, room 330, or online via Zoom. Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop open_to_all R statistical softwareStatistics
  • WEBINAR: Getting started with R

    16 August 2021

    WEBINAR: Getting started with R https://dresa.org.au/events/webinar-getting-started-with-r Data analysis skills are now central to most biological experiments. While Excel can cover some of your data analysis needs, it is not always the best choice, particularly for large and complex datasets. R is an open-source software and programming language that enables data exploration, statistical analysis visualisation and more. While it is the tool of choice for data analysis, getting started can be a little daunting for those without a background in statistics. In this webinar Saskia Freytag, an R user with over a decade of experience and member of the [Bioconductor Community Advisory Board](https://www.bioconductor.org/about/community-advisory-board/), will walk you through their hints and tips for getting started with R and data analysis. She’ll cover topics like [R Studio](https://www.rstudio.com/) and why you need it, where to get help, basic data manipulation, visualisations and extending R with libraries. The webinar will be followed by a short Q&A session. **Who the webinar is for** Aspiring data analysts from a variety of biological fields **Presenter**: Dr Saskia Freytag, Postdoctoral Fellow, Harry Perkins Institute of Medical Research. **Date/time:** 16 August 2021 - 12:00-13:00 AEST / 11:30 - 12:30 ACST / 10:00-11:00 AWST **How to join** This webinar is free to join but you must register for a place in advance. **[Register here](https://unimelb.zoom.us/webinar/register/WN_j3bXauUDQwW_q64JgnvdpQ)** 2021-08-16 12:00:00 UTC 2021-08-16 13:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons Melissa (melissa@biocommons.org.au) [] [] 500 webinar open_to_all R softwareBioinformaticsComputer ScienceStatistics
  • Basic Statistics with R

    30 - 31 May 2022

    Bundoora, Australia

    Basic Statistics with R https://dresa.org.au/events/basic-statistics-with-r BASIC STATISTICS WITH R introduces statistical concepts in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2022-05-30 09:00:00 UTC 2022-05-31 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2 Room 330, Bundoora, Australia Physical sciences 2 Room 330 Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researcherresearch students 20 workshop open_to_all StatisticsR statistical software
  • Basic Statistics with Stata

    2 - 3 June 2022

    Bundoora, Australia

    Basic Statistics with Stata https://dresa.org.au/events/basic-statistics-with-stata WHAT IS STATA? Stata is a statistical software package which is particularly popular among researchers from a diverse range of fields. BASIC STATISTICS WITH STATA introduces statistical concepts in a non-technical way and emphasises their practical application in Stata. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2022-06-02 09:00:00 UTC 2022-06-03 15:00:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2 building, room 330, Bundoora, Australia Physical sciences 2 building, room 330 Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students 20 workshop open_to_all STATAStatistics
  • Intermediate Statistics with R: Regression Analysis

    6 - 7 June 2022

    Bundoora, Australia

    Intermediate Statistics with R: Regression Analysis https://dresa.org.au/events/intermediate-statistics-with-r-regression-analysis INTERMEDIATE STATISTICS WITH R introduces various types of regression models in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2022-06-06 09:00:00 UTC 2022-06-07 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2, Kurt Gödel Laboratory, room 330., Bundoora, Australia Physical sciences 2, Kurt Gödel Laboratory, room 330. Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop open_to_all R statistical softwareStatistics
  • Sample Size Calculation Workshop

    8 June 2022

    Bundoora, Australia

    Sample Size Calculation Workshop https://dresa.org.au/events/sample-size-calculation-workshop WHAT IS G*POWER? G*Power is a free statistical software package for power and sample size analysis. It offers point-and-click functionality and covers a wide variety of statistical tests. In this 1-day workshop, concepts of statistical power and relevant statistical tests are covered in a non-technical way. Designed to be hands-on, the workshop focuses on the practical application of statistical methods. There will be plenty of opportunities to access in-class support. 2022-06-08 09:00:00 UTC 2022-06-08 15:00:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2, Room 330 (Kurt Gödel Lab), Bundoora, Australia Physical sciences 2, Room 330 (Kurt Gödel Lab) Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students 20 workshop open_to_all G*PowerStatisticssample size calculation
  • Introduction to SQL, Crash Course

    28 - 29 June 2022

    Introduction to SQL, Crash Course https://dresa.org.au/events/introduction-to-sql-crash-course Our objective is to build a strong foundation and intuition, with an emphasis on retrieving and transforming data without making mistakes or suffering immensely. SQL skills are in very high demand, as a core skill for data scientists. Learning SQL will also help you think logically about the structure of data sets. The workshop is online, with plenty of interactivity and opportunities for one-on-one support from the instructor, who has a deep love-hate relationship with SQL, and is passionate about making it easier and more fun for everyone. It comes with a big detailed textbook, with lots of practice exercises. After the workshop, you're invited to contact the instructor for follow up questions, as you continue practicing. 2022-06-28 09:00:00 UTC 2022-06-29 17:00:00 UTC La Trobe University Statistics Consultancy Platform Online, La Trobe University, Australia Online La Trobe University Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] research studentsresearchers 20 workshop open_to_all SQLStatistics
  • Introduction to Mixed Effects Modelling: Online

    16 - 17 September 2022

    Introduction to Mixed Effects Modelling: Online https://dresa.org.au/events/introduction-to-mixed-effects-modelling This course is designed as an introduction to mixed effects modelling. These models involve data arising from longitudinal studies or studies where the data exhibits some form of hierarchy, and sometimes referred to as multilevel modelling. Mixed effects modelling is used when observations are not independent of each other (e.g., clustered data, repeated measures). This type of analysis is regularly used in such areas as educational research, when studying the performance of students within schools, and in medical research when investigating the outcomes over time following major trauma. Mixed effects refer to the inclusion of both fixed effects (i.e., the variables that are constant across individuals), and random effects (i.e., account for variability among subjects around the relationships captured by the fixed effects). This course will be discussing the linear mixed effects models, in which the outcome of interest is continuous. Discussion of some of the uses of mixed effects models in publications will be discussed at the end of the course. 2022-09-16 09:30:00 UTC 2022-09-17 16:30:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all StatisticsRmixed effectsmultilevel modellinglongitudinal data
  • Structural Equation Modelling using Stata: Online

    28 - 29 October 2022

    Structural Equation Modelling using Stata: Online https://dresa.org.au/events/structural-equation-modelling-using-stata-online This course is designed for participants with an introductory-level understanding of the statistical methods of regression analysis and exploratory factor analysis. Participants will experience hands-on SEM examples and have the ability to build their own Stata SEM models. This workshop is targeted at those researchers who wish to expand their understanding of this highly powerful technique. SEM has been utilised in many areas of research from psychology to medicine. 2022-10-28 09:00:00 UTC 2022-10-29 17:00:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Structural equation modellingSEMStatisticsSTATA
  • Basic Statistics with R

    16 - 17 November 2022

    Basic Statistics with R https://dresa.org.au/events/basic-statistics-with-r-921ccf3c-bef2-4649-a2d1-d4f865d018a8 Learn a simple yet powerful way to design and carry out statistical analyses in R - like a real statistician! This two day workshop introduces statistical concepts in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and access support from our expert statisticians. 2022-11-16 09:00:00 UTC 2022-11-17 15:30:00 UTC La Trobe University Statistics Consultancy Platform Hybrid: via Zoom or in person at Physical sciences 2, Bundoora, Australia Hybrid: via Zoom or in person at Physical sciences 2 Bundoora Australia 3086 La Trobe University For more information contact Statistics.Consultancy@latrobe.edu.au [] Researchers and HDR students – especially those involved in the health sciences, social sciences, life sciences and psychological sciences – or anyone who wants to learn basic statistical concepts to apply in R. [] open_to_all RStatisticsR statistical software
  • Basic Statistics with STATA

    23 - 24 November 2022

    Bundoora, Australia

    Basic Statistics with STATA https://dresa.org.au/events/basic-statistics-with-r-ff5ee64c-dc17-4ae1-b2f6-47d760caaed2 Learn a simple yet powerful way to design and carry out analyses in Stata. This workshop introduces statistical concepts in a non-technical way and emphasises their practical application in Stata. Participants will have plenty of opportunities to gain hands-on experience and access in-class support. 2022-11-23 09:00:00 UTC 2022-11-24 15:30:00 UTC La Trobe University Statistics Consultancy Platform Hybrid: via Zoom or in person at Physical sciences 2, Bundoora, Australia Hybrid: via Zoom or in person at Physical sciences 2 Bundoora Australia 3086 La Trobe University For more information contact Statistics.Consultancy@latrobe.edu.au [] Researchers and HDR students – especially those involved in the health sciences, social sciences, life sciences and psychological sciences – or anyone who wants to learn basic statistical concepts to apply in R. workshop open_to_all STATAStatisticsstatistical softwareStatistical Methods
  • Intermediate Statistics with R: Regression Analysis

    29 - 30 November 2022

    Bundoora, Australia

    Intermediate Statistics with R: Regression Analysis https://dresa.org.au/events/intermediate-statistics-with-r-regression-analysis-79b8a5af-e3b6-4959-b33b-9fa99d546037 The thrilling sequel to the extremely popular 'Basic Statistics with R' takes statistics to the next level! Amanda shakes it up in this two day workshop introducing various types of regression models in a non-technical way and demonstrates their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and access support from our expert statisticians. 2022-11-29 09:00:00 UTC 2022-11-30 15:30:00 UTC La Trobe University Statistics Consultancy Platform Hybrid: via Zoom or in person at Physical sciences 2, Bundoora, Australia Hybrid: via Zoom or in person at Physical sciences 2 Bundoora Australia 3086 La Trobe University For more information contact Statistics.Consultancy@latrobe.edu.au [] Researchers and HDR students, or anyone who wants to learn intermediate statistical concepts to apply in R workshop open_to_all RStatisticsstatistical softwareStatistical MethodsR statisticsR statistical softwareRegression analysis
  • Sample Size Calculation Workshop

    1 December 2022

    Sample Size Calculation Workshop https://dresa.org.au/events/sample-size-calculation-workshop-faaee685-a51d-4b6f-9eb3-e4c53eac5707 Using free software for sample size and statistical power calculations G*Power is a free statistical software package for power and sample size analysis. It offers point-and-click functionality and covers a wide variety of statistical tests. The workshop includes concepts of statistical power and relevant statistical tests presented in a non-technical way. Designed to be hands-on, the workshop focuses on the practical application of statistical methods. 2022-12-01 09:00:00 UTC 2022-12-01 15:00:00 UTC La Trobe University Statistics Consultancy Platform Hybrid: via Zoom or in person at Physical sciences 2, Bundoora, Australia Hybrid: via Zoom or in person at Physical sciences 2 Bundoora Australia 3086 La Trobe University For more information contact Statistics.Consultancy@latrobe.edu.au. [] Researchers and HDRs – especially those involved in the health sciences, life sciences and psychological sciences – or anyone who wants to learn about statistical power and sample size analysis. workshopwebinar open_to_all sample size calculationStatisticsapplied statisticsG*Power
  • Multi-level Analysis using Mplus: Online

    16 - 20 January 2023

    Multi-level Analysis using Mplus: Online https://dresa.org.au/events/multi-level-analysis-using-mplus-online This course is designed as an introduction to the concepts and techniques required to analyse data that is multi-level in nature. (That is, data that is derived from subjects who are nested within groups or data that involves repeated measures that are nested within subjects) In conventional regression analysis it is assumed that subjects are randomly selected and, therefore, all the variance in your dependent variables is due solely to variation amongst individuals. However, in most studies, subjects are clustered within a group and multiple groups are sampled. For example, in an education study, we may have students clustered within multiple classes; in a human resourcing study, we may have employees clustered within multiple work units or teams. In such sampling, although some of the variance in your dependent variables will be due to variation amongst individuals, some the variance in your dependent variables will also be due to variation amongst the groups themselves. In such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. Repeated measure designs should also be analysed using multilevel analysis because the repeated observations are nested within subjects. For example, in a marketing study, we may have repeated measures of consumers’ attitudes to a brand over the life of a marketing campaign; in an epidemiology study, we may have repeated measures of a health outcome over the life of a drug treatment regime. In such studies, although some of the variance in your dependent variables will be due to variation across the various time occasions, some the variance in your dependent variables will also be due to variation amongst individuals themselves. Again, in such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. 2023-01-16 10:00:00 UTC 2023-01-20 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all multilevel modellingSEMStatistical MethodsStatistics
  • Fundamentals of Statistics: Online

    16 - 20 January 2023

    Fundamentals of Statistics: Online https://dresa.org.au/events/fundamentals-of-statistics-online In this course you will obtain a solid foundation in basic statistical concepts and procedures to progress with some confidence into more advanced topics. This is an introductory unit in statistical methods with the emphasis on statistical techniques applicable to the social sciences, although these introductory techniques are also appropriate to the health sciences. Key examples from journal articles will be presented to illustrate the use and reporting of the statistical techniques covered in this unit. Our approach to learning will be largely non-mathematical, concentrating on concepts rather than mathematical theory. Participants familiar with the use of a statistical software package, but lacking statistical training should also start with this course. SOFTWARE The course will be using the free and open-source software jamovi. The software jamovi can be downloaded from https://www.jamovi.org.download.html While jamovi is built on top of the R statistical language, it has a look and feel very similar to IBM SPSS Statistics and in many ways is easier to use. Depending on student preferences, there will be an opportunity to use IBM SPSS Statistics v28. Instructions will be provided for both packages and students can choose either jamovi or IBM Statistics v28. 2023-01-16 10:00:00 UTC 2023-01-20 16:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Fundamentals of StatisticsStatistical MethodsJamoviquantitativeStatistics
  • Fundamentals of Statistics

    30 January - 3 February 2023

    Melbourne, Australia

    Fundamentals of Statistics https://dresa.org.au/events/fundamentals-of-statistics In this course, you will obtain a solid foundation in basic statistical concepts and procedures to progress with some confidence into more advanced topics. This is an introductory unit in statistical methods emphasising statistical techniques applicable to the social sciences, although these introductory techniques are also relevant to the health sciences. Key examples from journal articles will illustrate the use and reporting of the statistical techniques covered in this unit. The approach to learning will be largely non-mathematical, concentrating on concepts rather than mathematical theory. Software The course will use the free and open-source software jamovi, which can be downloaded from https://www.jamovi.org/download.html. While jamovi is built on top of the R statistical language, it has a look and feel very similar to IBM SPSS Statistics and is easier to use in many ways. Depending on student preferences, there will be an opportunity to use IBM SPSS Statistics v28. Instructions will be provided for both packages, and students can choose to use either jamovi or IBM SPSS Statistics v28. 2023-01-30 09:00:00 UTC 2023-02-03 16:00:00 UTC ACSPRI University of Melbourne, Melbourne, Australia University of Melbourne Melbourne Australia ACSPRI info@acspri.org.au [] [] 20 workshop open_to_all Fundamentals of StatisticsStatisticsJamoviStatistical Methodsquantitative
  • Applied Statistical Procedures: Online

    6 - 10 February 2023

    Applied Statistical Procedures: Online https://dresa.org.au/events/applied-statistical-procedures-online This is an intermediate, applied course covering a range of the most commonly used statistical procedures. Research design, Experimental, Quasi-Experimental and Non-Experimental, will be covered so students can select the best design and statistical procedure for a research project, and to clarify exactly what claims can be made in relation to findings. It aims to provide participants with an ability to understand, run and interpret procedures. This course will further enhance your ability to understand research-based literature. The level falls between ‘Fundamentals of Statistics’, and the more detailed single procedure based courses. This course will provide a good foundation for progression to the more detailed courses in (Multiple) Regression, Factor Analysis, SEM and Latent Variables using Mplus. On completing this course you should be able to read and understand literature where these procedures are reported, select the appropriate statistical procedure for research, run the procedure, and report the results from an informed base of understanding. The course is taught from an applied prospective, with questions encouraged. The statistical package employed will be SPSS. No prior knowledge of SPSS is required. 2023-02-06 10:00:00 UTC 2023-02-10 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] workshop open_to_all StatisticsStatistical Methodsapplied statistics SPSS
  • Data Analysis Using Stata: Online

    6 - 10 February 2023

    Data Analysis Using Stata: Online https://dresa.org.au/events/data-analysis-using-stata-online Stata is a comprehensive integrated package for data management, analysis and graphics. Stata has a comprehensive GUI interface. Sample datasets will be provided, but you are encouraged to bring some of your own data for analysis in Excel or ASCII format. Teaching and practice will be closed integrated. Private consultations will be allocated during the course as needed. The course is suitable for beginners to the Stata package and will be presented in a way that introduces survey research. It is also appropriate to those familiar with Stata as it extends the capabilities of more experienced researchers. 2023-02-06 10:00:00 UTC 2023-02-10 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all STATAapplied statisticsStatistical MethodsStatistics
  • Fundamentals of Multiple Regression: Online

    6 - 10 February 2023

    Fundamentals of Multiple Regression: Online https://dresa.org.au/events/fundamentals-of-multiple-regression-online The course is designed for those who have limited knowledge and experience with multivariate statistical techniques and are seeking the knowledge and skills to use multiple regression for research at a post-graduate level and/or to publish in professional research journals. Particular attention is given to the application of multiple regression to substantive problems in the social and behavioral sciences. (See Course Program below.) By the end of the course, you will understand the principles of multiple regression, and be able to conduct regression analyses, interpret the results, obtain regression diagnostics to test the underlying model assumptions and write-up the results for publication. The course notes provide instructions for using the major statistical packages (SPSS, SAS, Stata) for regression. Participants who are considering regression analysis of their own data are encouraged and there will be time for individual consultations. This course provides the foundations necessary for progression to ‘Applied Multiple Regression Analysis’, and to subsequent advanced-level courses in structural equation modelling and multi-level analysis. 2023-02-06 10:00:00 UTC 2023-02-10 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Multiple RegressionquantitativeStatisticsStatistical Methodsapplied statistics
  • Advanced Statistical Analysis Using R: Online

    6 - 10 February 2023

    Advanced Statistical Analysis Using R: Online https://dresa.org.au/events/advanced-statistical-analysis-using-r-online R is a free software environment for scientific and statistical computing and graphics that runs on all common computing platforms. An active and highly skilled developer community works on development and improvement. It has become an environment of choice for the implementation of new methodology. It is at the same time attracting wide attention from statistical application area specialists. The powerful and innovative graphics abilities available in R include the provision of well-designed publication-quality plots. The first day of this course will focus on the R software environment, the remaining days of this workshop will focus on learning advanced statistical methods with R. We will spend an almost equal amount of time in PowerPoint sessions and computer exercises. During the PowerPoint sessions the focus will be on the statistical methods with minimal discussion of computer software. During the computer exercise time you will be using R to apply the statistical methods taught in the lectures. At the start of each session of computer exercises Mark will perform the first exercise in each set on his own computer demonstrating to the class the use of the software and the statistical results obtained. 2023-02-06 10:00:00 UTC 2023-02-10 17:00:00 UTC ACSPRI Online Online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R statisticsStatistical MethodsStatisticsR statistical software
  • Introductory Statistics Online

    2 October - 10 November 2023

    Introductory Statistics Online https://dresa.org.au/events/introductory-statistics-online This six week online course introduces students to the basics of applied statistics used in disciplines including psychology, biology, medicine, health, engineering, business, sociology and the arts. The three main areas of study are descriptive statistics, probability distributions and statistical inference. The SPSS statistical computing package is an integral part of the course. 2023-10-02 09:00:00 UTC 2023-11-10 17:00:00 UTC La Trobe University Statistics Consultancy Platform La Trobe University, Kingsbury Drive, Bundoora, Australia La Trobe University, Kingsbury Drive Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students 30 workshop open_to_all StatisticsFundamentals of Statistics SPSS
  • Basic Statistics with Stata (hybrid)

    9 - 10 November 2023

    Bundoora, Australia

    Basic Statistics with Stata (hybrid) https://dresa.org.au/events/basic-statistics-with-stata-hybrid WHAT IS STATA? Stata is a statistical software package which is particularly popular among researchers from a diverse range of fields. BASIC STATISTICS WITH STATA introduces statistical concepts in a non-technical way and emphasises their practical application in Stata. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2023-11-09 09:00:00 UTC 2023-11-10 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2 building, room 330 or online via Zoom, Bundoora, Australia Physical sciences 2 building, room 330 or online via Zoom Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students 20 workshop open_to_all STATAStatistics
  • Basic Statistics with R (hybrid)

    13 - 14 November 2023

    Bundoora, Australia

    Basic Statistics with R (hybrid) https://dresa.org.au/events/basic-statistics-with-r-hybrid BASIC STATISTICS WITH R introduces statistical concepts in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2023-11-13 09:00:00 UTC 2023-11-14 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2 Room 330 or Zoom. , Bundoora, Australia Physical sciences 2 Room 330 or Zoom. Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researcherresearch students 20 workshop open_to_all StatisticsR statistical software
  • Sample Size Calculation Workshop (hybrid)

    15 November 2023

    Bundoora, Australia

    Sample Size Calculation Workshop (hybrid) https://dresa.org.au/events/sample-size-calculation-workshop-hybrid WHAT IS G*POWER? G*Power is a free statistical software package for power and sample size analysis. It offers point-and-click functionality and covers a wide variety of statistical tests. In this 1-day workshop, concepts of statistical power and relevant statistical tests are covered in a non-technical way. Designed to be hands-on, the workshop focuses on the practical application of statistical methods. There will be plenty of opportunities to access in-class support. 2023-11-15 09:00:00 UTC 2023-11-15 15:00:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2, Room 330 (Kurt Gödel Lab), or online via Zoom., Bundoora, Australia Physical sciences 2, Room 330 (Kurt Gödel Lab), or online via Zoom. Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students 20 workshop open_to_all G*PowerStatisticssample size calculation
  • Intermediate Statistics with R: Regression Analysis (hybrid)

    23 - 24 November 2023

    Bundoora, Australia

    Intermediate Statistics with R: Regression Analysis (hybrid) https://dresa.org.au/events/intermediate-statistics-with-r-regression-analysis-hybrid INTERMEDIATE STATISTICS WITH R introduces various types of regression models in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2023-11-23 09:00:00 UTC 2023-11-24 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2, Kurt Gödel Laboratory, room 330, or online via Zoom., Bundoora, Australia Physical sciences 2, Kurt Gödel Laboratory, room 330, or online via Zoom. Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop open_to_all R statistical softwareStatistics

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