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Regression Methods in Health Research (POPH90144)
Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)
About this subject
Contact information
July
Melbourne School of Population and Global Health
OR
Currently enrolled students:
- General information: https://ask.unimelb.edu.au
- Email: Contact Stop 1
Future Students:
- Further Information: https://study.unimelb.edu.au/
Overview
Availability | July - Dual-Delivery |
---|---|
Fees | Look up fees |
This subject is compulsory for students doing a Master of Epidemiology or a Master of Science – Epidemiology. The subject covers linear regression methods for continuous outcome variables and logistic regression methods for binary outcome variables. The subject equips students with the practical skills to apply these regression methods to data from epidemiological studies using the statistical package Stata. Also covered is how to adjust for confounding and investigate effect modification using regression models. The focus is on the practical interpretation of the measures of association estimated by these regression models.
Intended learning outcomes
On completion of this subject, students are expected to:
- Explain how regression methods are used to address common objectives of health research in the three areas of descriptive, causal and predictive analysis
- Discuss the fundamental concepts of regression models as tools for representing patterns of systematic variation in data, including interpretation of parameters and interaction effects
- Estimate different types of causal effects (mean differences, risk ratios, odds ratios) in populations using regression models.
- Describe the assumptions and limitations of the use of regression in estimating causal effects with adjustment for confounding
- Outline key principles involved in building regression models for prediction purposes
Generic skills
Upon completion of this subject, students will have developed skills in:
- Critical thinking and analysis,
- Finding, evaluating and using relevant information,
- Problem-solving,
- Written communication,
- Using computers.
Last updated: 8 November 2024