13556 (v.2) Epidemiology and Biostatistics 685

Area:	School of Public Health
Credits:	25.0
Contact Hours:	4.0
Lecture:	1 x 2 Hours Weekly
Tutorial:	1 x 2 Hours Weekly
Prerequisite(s):	6103 (v.7) Epidemiology and Biostatistics 582 or any previous version OR 13554 (v.2) Epidemiology and Biostatistics 782 or any previous version
Syllabus:	Multivariate techniques such as principle components and factor analysis, Poisson regression and canonical correlation. Introduction to categorical data analysis and multi-level modelling. Illustrations of analysis of data from the health sciences. The use of statistical computer software is an essential part of the unit.

Unit Outcomes:	On successful completion of this unit students will be able to - Apply advanced statistical methods such as Poisson regression, factor analysis and logistic regression. Be familiar with issues and concepts underlying the modelling and analysis of health and medical data. Use appropriate computer software to conduct data analyses with the emphasis is on practical applications and interpretation of results.
Text and references listed above are for your information only and current as of September 30, 2003. Please check with the unit coordinator for up-to-date information.
Unit References:	Afifi A.A. and Clark V., (1996), Computer-aided Multivariate Analysis, 3rd ed., Chapman and Hall. Altman D.G., (1991), Practical Statistics for Medical Research, Chapman and Hall. Hair J.F., Anderson R.E., Tatham R.L. and Black W.C., (1998), MultivariateData Analysis, 5th ed., Prentice-Hall. Neter J., Wasserman W. and Kutner M.H., (1990), Applied Linear Statistical Models, 3rd ed., Irwin. Pagano M. and Gauvreau K., (1993), Principles of Biostatistics, Duxbury Press. Selvin S., (1995), Practical Biostatistical Methods, Duxbury Press. Tabachnick B.G. and Fiddell L.S., (1996), Using Multivariate Statistics, Harper Collins.
Unit Texts:	No prescribed texts.

Unit Assessment Breakdown:	Assignments 50%, Final Examination 50%. This is by grade/mark assessment.