Course Overview

This workshop is designed as an introduction to statistical analysis for researchers. There is emphasis on understanding the concepts of statistical procedures (with a minimum of mathematics, although some will be discussed) and on interpreting computer output. It is designed to help you, the researcher. It is helpful if you have done an undergraduate statistics subject, although this workshop can serve as a first introduction or a refresher. 

The theory behind the statistical procedures will, in general, not be discussed. A range of statistical analyses will be discussed in the workshop, as described in the outline below. We will talk through examples of all analysis types and will demonstrate how to carry them out in R. Equal emphasis will also be put on interpreting the output of these analyses. There will be plenty of practical work.

Revision

• Descriptive statistics – mean, mode, standard deviation, inter-quartile range, correlation
• Data visualisation - boxplot, histogram, scatterplot, bar graph

Introduction to statistical inference

• Uncertainty, confidence intervals, p-values, significance/evidence
• T-test (comparing two groups)
• Checking model assumptions

Analysis of continuous responses with linear models

• Simple linear regression
• ANOVA
• Multiple regression, ANCOVA

Analysis of categorical responses

• Relative risk, odds ratios
• Chi-square test
• Logistic regression

Presenter and Expertise: Peter Humburg, Senior Statistical Consultant, UNSW Stats Central

Course Requirements: You will need to bring and use your own computer during the course with both R and RStudio installed. You will also need administrator rights to install further packages needed throughout the course.

Date: Wednesday 5 to Friday 7 February 2025

Duration: 9.30am - 4.00pm, each day

Delivery Mode: In-Person ONLY

Register