Available in 2012
| WebLearn GradSchool | Semester 2 |
|---|
Previously offered in 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004
Covers advanced biostatistical methods commonly used such as categorical data analysis and survival analysis. Provides students with experience, rather than theory, as the course is very applied utilising numerous examples, and practical exercises, and with assignments using real data.
ObjectivesTo provide students with the understanding and skills to undertake high level statistical analysis of categorical and survival data. | |
ContentThe course has two components - categorical data analysis and survival analysis. Categorical data analysis will include a log-linear models for dichotomous and multinomial data, paired and matched data and repeated measures analysis. The survival analysis component covers introduction to censoring, truncation, survival and hazard functions, Cox proportional hazards regression, Weibull and other parametric models, time dependent models, accelerated failure time models, repeated measures, competing risks, informative censoring and sample size. | |
Replacing Course(s)N/A | |
TransitionN/A | |
Industrial Experience0 | |
Assumed Knowledge200 level Statistical Inference and Generalised Linear Modelling or equivalent; Biostatistics A,Biostatistics B, Intermediate Biostatistics | |
Modes of DeliveryDistance Learning : Paper Based | |
Teaching MethodsEmail Discussion Group | |
Assessment Items
| |
Contact HoursEmail Discussion Group: for 2 hour(s) per Week for Full Term | |
Timetables |