qmst notes6 - Multivariate Analysis of Variance...

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Multivariate Analysis of Variance (MANOVA) - When there is more than one dependent variable and you want to conduct an analysis on all of them at once. Ex of a MANOVA: Testing a new cancer drug vs. placebo. Dependent variables = survival time, quality of life, and level of fatigue. Conduct a MANOVA to look at how the different drugs impact the 3 dependent variables all at once. Analysis of Covariance (ANCOVA) -When you have additional variables that can help to explain some of the variation in the dependent variable. Co-variance = measuring how variables change together. Ex of an ANCOVA: Testing 2 new cancer drugs vs. a placebo. Dependent variable = survival time. If you also know patients' ages, use age as a covariate. ANCOVA removes the variance caused by age, and can better tell you about the real differences you're interested in: the effects of the new drugs. Multivariate Analysis of Covariance (MANCOVA) -Combines features of both MANOVA and ANCOVA. Ex of a MANCOVA. Testing 2 new cancer drugs vs. a placebo. Dependent variable = survival time, quality of life, and
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This note was uploaded on 01/26/2012 for the course QMST 2333 taught by Professor Mendez during the Spring '08 term at Texas State.

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