HSH747 - Biostatistics 2
| Year: | 2019 unit information |
|---|---|
| Enrolment modes: | Trimester 2: Burwood (Melbourne), Cloud (online) |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Prerequisite: | HSH746 |
| Corequisite: | Nil |
| Incompatible with: | Nil |
| Scheduled learning activities - campus | Campus: 2 hour computer lab-based workshop each week |
| Scheduled learning activities - cloud (online) | Cloud (Online): Online independent and collaborative learning and 1 x 2 hour online seminar per week |
Content
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 via CloudDeakin, 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 CloudDeakin 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.
Assessment
Assessment task 1: Theoretical questions and applied analyses (equivalent to 1000 words) 20%
Assessment task 2: Theoretical questions and applied analyses (equivalent to 1500 words) 30%
Assessment task 3: Data analysis, reporting and interpretation (equivalent to 2500 words) 50%
Unit Fee Information
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