13556 (v.2) Epidemiology and Biostatistics 685



 

Area:School of Public Health
Contact Hours:4.0
Credits:25.0
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
Multivariate analysis condenses information contained in many outcome variables to a few derived variables. Emphasis is placed on the practical applications of multivariate methods to epidemiological data sets. Principal components, factor, discriminant and cluster analysis. Canonical correlation.

 

 

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Current as of: February 20, 2003     5:01:33
CRICOS provider code 00301J