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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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