Clinical Biostatistics

10 Units

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
Availability Semester 1 - 2016 (Distance Education - Callaghan)
Learning Outcomes

On successful completion of this course, students will be able to:

  1. Demonstrate a broad understanding of statistical methods in evidence-based health care
  2. Determine appropriate statistical methods of particular relevance to evidence-based health care in particular applications
  3. Correctly employ these statistical methods and have the skills to effectively communicate with clinicians on the application of these methods and interpretation of the results

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.

  • Must be in G Dip Medical Biostatistics or M Medical Statistics. Pre-requisites: must have completed BIOS6040, BIOS6050, BIOS6061, BIOS6170, and EPID6420. Pre or Co-requisites: must have completed BIOS6070, or be concurrently enrolled in BIOS6070.
Assessment Items
  • Written Assignment: Essays / Written Assignments
Contact Hours
  • Self-Directed Learning: for 6 hour(s) per Week for Full Term (Suggest 8-12 hours of time commitment per week (guide only).)
Timetable 2016 Course Timetables for BIOS6100
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