BIOS6100

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 - 2014 (Distance Education - Callaghan)
Semester 1 - 2015 (Distance Education - Callaghan)
Objectives

On completion of this course students should 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
Content

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.

Replacing Course(s) N/A
Transition N/A
Industrial Experience 0
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
Assessment Items
  • Essays / Written Assignments - Assignments 92% (4 written assignments, each worth 23%) 8% for online discussions.
Contact Hours
  • Self Directed Learning: for 6 hour(s) per Week for Full Term
Compulsory Components
  • Requisite by Enrolment: This course is only available to students enrolled in the Graduate Diploma in Medical Statistics or Master of Medical Statistics programs.
Course Materials None listed
Timetable 2015 Course Timetables for BIOS6100

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