Curriculum
Clinical Biostatistics (CLB)
To enable students to use correctly statistical methods of particular relevance to evidence-based health care and to advise clinicians on the application of these methods and interpretation of the results.
Coordinator
Dr Michael Waller, School of Public Health, University of Queensland
COORDINATORS:
General outline
Prerequisites
Epidemiology, Mathematical Background for Biostatistics, Probability and Distribution Theory, Principles of Statistical Inference, Design of Randomised Controlled Trials
Co-Requisites
Linear Models
Time commitment
8-12 hours total study time per week
Semester availability
Semester 1
Assessment
Assignments 100% (3 written assignments worth 30%, 35%, 35%)
Prescribed Texts
References will be listed in the unit Study Guide
Special Computer Requirements
Stata or R statistical software
Content
Clinical trials (equivalence trials, cross-over trials); Clinical agreement (BlandAltman methods, kappa statistics, intraclass correlation); Statistical process control (special and common causes of variation; quality control charts); Diagnostic tests (sensitivity, specificity, ROC curves); Meta-analysis (systematic reviews, assessing heterogeneity, publication bias, estimating effects from randomised controlled trials, diagnostic tests and observational studies).
Special Computer Requirements
Course notes, assignment material and interaction facilities available online