Explores biostatistical applications of linear models with an emphasis on underlying theoretical and computational issues, practical interpretation and communication of results. This course will be offered in distance learning mode only. 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 2 - 2014
(Distance Education - Callaghan)
Previously offered in 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004
At the completion of this course students should 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.|
|Modes of Delivery||Distance Learning : Paper Based
|Teaching Methods||Self Directed Learning|
|Course Materials||None listed|
|Timetable||2015 Course Timetables for BIOS60701|