Explores biostatistical applications of linear models with an emphasis on underlying theoretical and computational issues, practical interpretation and communication of results. 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|
Semester 1 - 2015
(Distance Education - Callaghan)
Semester 2 - 2015 (Distance Education - Callaghan)
Semester 1 - 2016 (Distance Education - Callaghan)
Semester 2 - 2016 (Distance Education - Callaghan)
On successful completion of this course, students will be able to:
By a series of case studies, students will explore extensions of methods for group comparisons of means (t-tests and analysis of variance) to adjust for confounding and to assess effect modification/interaction, together with the development of associated inference procedures. Multiple regression strategies and model selection issues will be presented together with model checking and diagnostics. Nonparametric regression techniques, and random effects and variance components models will be outlined as an introduction to a broader class of regression models.
|Assumed Knowledge||Epidemiology (EPID6420); Mathematical Background for Biostatistics (BIOS6040); Principles of Statistical Inference (BIOS6050); Probability and Distribution Theory (BIOS6170); Co-requisite. Please note, Program Coordinator approval is required for taking EPI and LMR simultaneously.|
|Timetable||2015 Course Timetables for BIOS6070|