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.
COORDINATORS:
General outline
Prerequisites
Epidemiology, Mathematical Foundations for Biostatistics, Principles of Statistical Inference
Co-Requisites
Design of Randomised Controlled Trials, Regression Modelling for Biostatistics 1
Time commitment
8-12 hours total study time per week
Semester availability
Semester 2
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 softwareContent
Clinical trials (equivalence trials, cross-over trials); Clinical agreement (Bland-Altman 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).
Resources
Course notes, online mini-lecture videos, online tutorials, discussion board
Notes
* Co-requisite, may be taken before or concurrently.
The BCA acknowledges we live and work on the ancestral lands of Aboriginal and Torres Strait Islander peoples, who have for thousands of generations exchanged knowledge for the benefit of all. We pay our respects to those who have cared and continue to care for Country.
