Chapter 6: Multivariate Analysis and Repeated Measures

Chapter 6: Multivariate Analysis and RepeatedMeasures Multivariate -- More than one dependent variable at once. Why do it? Primarilybecause if you do parallel analyses on lots of outcome Measures , the probability ofgetting significant results just by chance will definitely exceed the apparent = It is also possible in principle to detect results from a Multivariate Analysis thatare not significant at the univariate simplest way to do Multivariate Analysis is to do a univariate Analysis on eachdependent variable separately, and apply a Bonferroni correction. The disadvantage isthat testing this way is less powerful than doing it with real Multivariate tests. Another advantage of a true Multivariate Analysis is that it can "notice" things missed byseveral Bonferroni-corrected univariate analyses, because ..Under the surface, a classical Multivariate Analysis involves the construction of theunique linear combination of the dependent variables that shows the strongestrelationship (in the sense explaining the remaining variation) with the independentvariables.

Chapter 6: Multivariate Analysis and Repeated Measures ... Chapter 6, Page 3. E[Y|x] = ... risk -- the estimated probability that a patent will acquire an infection unrelated to what he or she caame in with. We will analyze these data as a two-way multivariate analysis of variance.

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