Involves practical applications of statistical methods in clinical and diagnostic settings. The underlying statistical theory will be presented as support rather than as the main emphasis. This course is offered in conjunction with the Biostatistics collaboration of Australia (BCA).
|Faculty||Faculty of Health and Medicine|
|School||School of Medicine and Public Health|
Not currently offered
On completion of this course students should be able to:
Using a series of case studies the various statistical methods relevant to clinical and diagnostic settings will be presented in a clinical context with appropriate practical interpretation. Students will learn to apply methods for assessment of clinical agreement, the statistical properties of diagnostic tests and their interpretation, statistical and ethical issues involved in screening tests, and the fundamentals of modelling for clinical prediction. Students will be actively engaged in an in-depth analysis of issues in systematic reviews of medical research studies, including selection and appraisal of studies, levels of evidence, meta-analytic methods for estimating effect sizes using fixed and random effect models, assessing heterogeneity and publication bias.
|Assumed Knowledge||Epidemiology (EPID6420); Mathematical Background for Biostatistics (BIOS6040); Probability and Distribution Theory (BIOS6170); Principles of Statistical Inference (BIOS6050). This course may be taken concurrently with Clinical Biostatistics.|
|Modes of Delivery||Distance Learning : Paper Based
|Teaching Methods||Self Directed Learning|
|Course Materials||None listed|
|Timetable||2014 Course Timetables for BIOS6100|