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, practical exercises and assignments using real data.
Not currently available.
This Course was last offered in Semester 2 - 2014.
1. To provide students with the understanding and skills to undertake high level statistical analysis of categorical and survival data
The 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.
200 level Statistical Inference and Generalised Linear Modelling or equivalent; Biostatistics A,Biostatistics B, Intermediate Biostatistics
Written Assignment: Essays / Written Assignments
Online 2 hour(s) per Week for Full Term
Contact hours are an indication only. Email and Blackboard Discussion