The aim of this unit is to lay 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 Master of Biostatistics 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.
Unit details and rules
Academic unit | Public Health |
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Credit points | 6 |
Prerequisites
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(BSTA5100 or (BSTA5001 and BSTA5023)) and (BSTA5011 or PUBH5010 or CEPI5100) |
Corequisites
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BSTA5002 |
Prohibitions
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BSTA5007 or BSTA5008 |
Assumed knowledge
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None |
Available to study abroad and exchange students | No |
Teaching staff
Coordinator | Erin Cvejic, erin.cvejic@sydney.edu.au |
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