Linear regression
Simple linear regression, including assumptions, influential observations and inference
Equivalence of two-sample t-test and linear regression
Linear models with multiple predictor variables
Multiple regression
Analysis of variance (ANOVA), including multiple comparisons
More linear models
Paired and blocked designs
ANCOVA
Factorial experiments
Interactions in regression
Model selection
Cross-validation
Information criteria (AIC, BIC)
Penalised estimation (LASSO)
Mixed effects models
Random effects
Linear mixed effects models
Inference for mixed models, including likelihood ratio tests, parametric bootstrap, hypothesis tests, confidence intervals
Correlated random effects
Wiggly models
Spline smoothers, including diagnostics and interactions
Generalised linear models (GLMs)
Examples of GLMs
Fitting GLMs and checking assumptions, including mean-variance relationship
Inference
Extensions - offsets, zero-inflated models
Cost:
- UNSW students $300
- UNSW staff and other UNSW-affiliated people $600
- People with no UNSW affiliation $1,500
Course fees include morning and afternoon teas and lunches on all days.
Registration:
Registration in now open. Please click the button below.
Requirements:
Bring your own laptop computer.
NOTE: If you have not used R before, we strongly recommend you attend the Introduction to R course on June 13.