Monash Handbook(opens in a new tab)
UnitLevel 5Postgraduate

EPM5028 Regression modelling for biostatistics II

Faculty of Medicine, Nursing and Health Sciences

No reviews yet

EPM5028 Regression modelling for biostatistics II is a level 5, 6-credit-point, postgraduate unit from the Faculty of Medicine, Nursing and Health Sciences, offered in 2026 in Semester 1 and Semester 2 at Alfred Hospital. It needs MPH5040 and (EPM5004 or EPM5027) and unlocks 1 unit.

Credit points
6
Offered in 2026
Semester 1, Semester 2
Alfred Hospital
Assessment
No exam
3 tasks

This is the 2026 handbook entry. See the 2027 entry.

Reviews

No reviews yet

No reviews yet. Be the first to review EPM5028.

Requisites

Before EPM5028

Prerequisites

Pass these before you enrol.

All of
One of

After EPM5028

1 unit list EPM5028 as a prerequisite or corequisite.

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 in 2026

Teaching periodCampusMode
First semesterAlfred HospitalOnline
Second semesterAlfred HospitalOnline

Assessment

  • Written mathematical and analytical tasks (Equivalent to 1,800 words)Written
    30%
  • Written modelling report (Equivalent to 1,800 word)Written
    30%
  • Written analytical and modelling tasks (Equivalent to 2,400 words)Written
    40%

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

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Explain the theory of generalised linear models (GLMs) and statistical inference based on GLMs.

  2. 2

    Analyse data using logistic regression models for binary, multinomial and ordinal categorical data.

  3. 3

    Analyse count using the general theory and application GLMs.

  4. 4

    Explain the nature of survival data, and summarise and display survival data.

  5. 5

    Analyse survival data using the Cox proportional hazards regression model, including time-dependent covariates and the stratified Cox model.

  6. 6

    Assess and evaluate the model fit and diagnostics of GLMs and survival models.

Workload and teaching

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.

Contacts

Chief Examiners
Professor Andrew Forbes
Unit Coordinators
Professor Andrew Forbes

Common questions

What are the prerequisites for EPM5028?

You need MPH5040 and (EPM5004 or EPM5027) before you enrol.

What can I take after EPM5028?

EPM5028 is a prerequisite or corequisite for 1 unit, including EPM5015.

When is EPM5028 offered?

In 2026, EPM5028 runs in Semester 1 and Semester 2 at Alfred Hospital, with an online option.

Does EPM5028 have an exam?

No. EPM5028 has 3 assessment tasks and no exam.

More details

Credit points
6
Level
5
Study level
Postgraduate
Faculty
Faculty of Medicine, Nursing and Health Sciences
Organisational unit
Department of Epidemiology and Preventive Medicine
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Not available
Handbook years
202220232024202520262027