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Regression modelling for biostatistics 1
EPM5027
Synopsis
This unit lays the foundation of biostatistical modelling to analyse data from randomised or observational studies. These skills are essential for biostatistics in practice and will be used by students for the remainder of their BCA studies.
This unit will introduce the motivation for different regression analyses and how to choose an appropriate modelling strategy. This unit will teach how to use linear regression to analyse continuous outcomes and logistic regression for binary outcomes.
Emphasis will be placed on interpretation of results and checking the model assumptions. Stata and R software will be used to apply the methods to real study datasets.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 5
- Audience
- Postgraduate
- Type
- Coursework
- School
- Faculty of Medicine, Nursing and Health Sciences
- Faculty
- Department of Epidemiology and Preventive Medicine
- Handbook year
- 2026
Prerequisites
No prereqs in the handbook graph.
What it unlocks (10)
- Clinical biostatisticsEPM5006
- Longitudinal and correlated data analysisEPM5008
- Bayesian statistical methodsEPM5013
- Machine learning for biostatisticsEPM5017
- Causal inferenceEPM5018
- Regression modelling for biostatistics IIEPM5028
- Applied health data analytics group case studyEPM5032
- Applied data analysisFIT5149
- Machine learningFIT5201
- Data analysis for semi-structured dataFIT5212
Offerings (2)
- First semesterAlfred Hospital · ONLINE
- Second semesterAlfred Hospital · ONLINE