EPM5028 · Regression modelling for biostatistics II

Overview

This unit presents the theory and application of generalised linear models (GLMs) and survival analysis, paying proper attention to the underlying assumptions of these models. The unit covers the implementation of GLMs to analyse count data using Poisson and negative binomial regression; how logistic regression models can be applied to binary, multinomial, and ordinal data; and the use of GLMs with continuous data. The unit presents methods to analyse time to event survival data including the Kaplan Meier curve, the Cox proportional hazards model, and parametric accelerated failure time models. A major focus is on selection of appropriate methods, assessing the model fit and diagnostics of GLMs and survival models, and the practical interpretation and communication of model results.

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. Explain the theory of generalised linear models (GLMs) and statistical inference based on GLMs.
2. Analyse data using logistic regression models for binary, multinomial and ordinal categorical data.
3. Analyse count using the general theory and application GLMs.
4. Explain the nature of survival data, and summarise and display survival data.
5. Analyse survival data using the Cox proportional hazards regression model, including time-dependent covariates and the stratified Cox model.
6. Assess and evaluate the model fit and diagnostics of GLMs and survival models.

Workload

Off campus: Twelve hours per week, consisting of (on average) 4 hours per week for reading core material, 4 hours per week completing exercises (manual, computer-based, or on-line), 2 hours per week for on-line communication via online moderated discussions, and 2 hours per week for assignment preparation. No residential component is required.

Student experience, not official rules. Nothing here changes what the Handbook says.