On completion students should:
1. have an advanced understanding of randomised controlled trials;
2. be able to design and analyse a wide variety of randomised control trials;

The first component of the course discusses methods in RCTs for determining stopping rules for interim analyses, spending functions, stochastic curtailment, analysis methods used with cross-over designs, preference outcomes, N-of-1 studies and equivalence, and non-inferiority trials. The second component discusses the statistical principles encountered in relation to aspects of regulatory/reporting guidelines, and relates to reports prepared for data safety and monitoring committees.

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Mathematical Background for Biostatistics;
Design of Experiments & RCTs;
Probability and Distribution Theory
Principles of Statistical Inference;
Linear Models;
*Survival Analysis
* Co-requisite - may be taken concurrently.
Semester availability:

Distance Learning : Paper Based

Self Directed Learning

Self Directed Learning: for 6 hour(s) per Week for Full Term