BMDS 240: Applied Multivariate Analysis (STATS 206)

Biomedical Data Science Stanford University 3.0 credits

Course Description

Introduction to the statistical analysis of several quantitative measurements on each observational unit. Emphasis is on concepts, computer-intensive methods. Examples from economics, education, geology, psychology. Topics: multiple regression, multivariate analysis of variance, principal components, factor analysis, canonical correlations, multidimensional scaling, clustering. Prerequisites: STATS 116/118, STATS 191/203, MATH104 (recommended). See https://statistics.stanford.edu/course-equiv for equivalent courses in other departments that satisfy these prerequisites.

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