HSH747 - Biostatistics 2


2024 unit information

Enrolment modes: Trimester 2: Burwood (Melbourne), Online
Credit point(s): 1
EFTSL value: 0.125


Corequisite: Nil
Incompatible with: HSH947
Study commitment

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

This will include educator guided online learning activities within the unit site.

Scheduled learning activities - campus

All teaching material is online in the form of short narrated PowerPoints - with the students expected to view 4 to 6 each week.

We will have one 2 hour on-campus practical experiences (laboratory) based practical experience (computer practical) each week to facilitate the practical exercises.

Scheduled learning activities - online

All teaching material is online in the form of short narrated PowerPoints - with the students expected to view 4 to 6 each week.
Online independent and collaborative learning and 1 x 2 hour zoom based practical experience (computer practical) each week - scheduled for the online session to facilitate the practical exercises. Zoom recording will also be available.


This unit will cover topics in regression analysis with a focus on practical application to data and problems in public health, health economics and variety of health settings. Topics include: linear regression, including model fitting, measures of goodness of fit and using regression to explore confounding and effect modification; logistic regression, extending regression to modelling proportions, rates and odds ratios and the analysis of case-control studies; and Poisson and other generalised linear models. Unit delivery is designed to facilitate the syntheses of the components of learning through practical exercises, statistical computing labs and the application of regression techniques to realistic health-related data.

All content will be delivered online, with short narrated PowerPoints/videos providing the main content delivery supported by links to online resources and appropriate journal articles. Face-to-face sessions for on-campus students will focus on applying the week’s content to real/realistic data. Detailed notes on these practical sessions will be posted on the unit’s site so that off-campus students can work through the practical sessions at home. Weekly online sessions for off-campus students facilitated by the unit chair will allow them to workshop the online content and practical sessions. Practical work will use the Stata statistical analysis software.

Unit Fee Information

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