Advanced Clinical Trials & Meta-Analysis
Not available in 2012
Previously offered in 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004
This course will provide students with advanced knowledge and skills relating to randomised clinical trials. Students will be exposed to the statistical principles, issues and methods involved in the design and analysis of randomised controlled trials (RCTs).
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.
Mathematical Background for Biostatistics;
Design of Experiments & RCTs;
Probability and Distribution Theory
Principles of Statistical Inference;
* Co-requisite - may be taken concurrently.
Modes of Delivery
Distance Learning : Paper Based
Self Directed Learning
Self Directed Learning: for 6 hour(s) per Week for Full Term