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External event: Introduction to Regression Modelling in R

  • 31 Aug 2020
  • 9:00 AM (AEST)
  • 4 Sep 2020
  • 12:30 PM (AEST)
  • Online

 Introduction to Regression Modelling in R

Course Overview

The core outcome from this course is to recognise that most statistical methods you use can be understood under a single framework, as special cases of (generalised) linear models. Learning statistical methods in a systematic way, instead of as a "cookbook" of different methods, enables you to take a systematic approach to key steps in analysis (like assumption checking) and to extend your skills to handle more complex situations you might encounter in the future (random factors, multivariate analysis, choosing between a set of competing models). 

This short course, taking place over five half-days, is aimed at applied researchers with prior experience using R and familiar with introductory statistics tools - you should know about the t-test, linear regression, analysis of variance and know something about orthogonal and nested designs. If you have not used R before, we strongly recommend you learn basic features of R and how to use the RStudio interface to R before this course. If you have no experience with R, Stats Central offers an Introduction to R short course, which will be run on 11-12 August and 19-20 August (see above). If you need to revise introductory statistics material, you should attend the Introductory Statistics for Researchers course on 24-27 August (see above), as the material in it is taken as assumed knowledge for this regression course. 

Course Requirements

You will need to use a computer during the course. Some familiarity with introductory statistics and R will be assumed. 

Date:               Monday 31 August to Friday 4 September, 2020 (five morning sessions)

Duration:         9.00 am to 12.30 pm – Each day

Location:         Online

For further details and bookings:

Stats Central provides study design and analysis support to all UNSW researchers, in collaborative and consultative roles, and conducts short courses and monthly seminars on topical issues. Please see below for our upcoming seminar and short courses. Please feel free to circulate this email to your colleagues, staff, researchers and students, who may be interested. Should you have any questions please don’t hesitate to contact us or visit our website

**Due to the COVID-19 situation, we are offering online course with 20% discounted rates.**

Note: The courses will be delivered remotely using online collaborative teaching tools, with a mix of live video-assisted lectures and computer-based tutorials. A continuous chat session will be available and there will be extra staff to answer questions during the course.

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