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Mar 3, 2009 11:04 AM
(4391 views)

JMP Users,

I have a rather simple data set: repeated measures over time of a single variable within individuals grouped according to 4 treatments (1 control + 3 different drugs); N=10 / group.

The basic Repeated Measure MANOVA shows significant Time, Treatment, and Time*Treatment effects.

As a follow on to this observation, I would like to test which of the 3 treatment is significantly different from the control group. How should I proceed?

Note: the Standard Least Square personality model fit provides a the LSMeans Differences Tukey HSD post-hoc test, but this personality would not be appropriate for repeated measures.

I have a rather simple data set: repeated measures over time of a single variable within individuals grouped according to 4 treatments (1 control + 3 different drugs); N=10 / group.

The basic Repeated Measure MANOVA shows significant Time, Treatment, and Time*Treatment effects.

As a follow on to this observation, I would like to test which of the 3 treatment is significantly different from the control group. How should I proceed?

Note: the Standard Least Square personality model fit provides a the LSMeans Differences Tukey HSD post-hoc test, but this personality would not be appropriate for repeated measures.

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The MANOVA personality in Fit Model does not offer post-hoc tests for repeated measures models. To produce these tests, you must use the univariate approach to repeated measures analysis as described in the following JMP Note: Analyzing Repeated Measures in JMP® Software.

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