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Nov 1, 2011 5:39 PM
(901 views)

Hi,

I have data collected from a repeated meaures study. Each subject's physiological data were measured eight times and 18 subjects participated in the study. The first measurement will be used as a reference value and compared with other 7 measures. So, I would like to use Dunnett's test instead of using Tukey HSD. Is there any simple way to do it?

Thanks,

Jay

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Solution

You can use the Fit Y by X platform. Set measured variable as Y, sampling (1-8, Nominal or Ordinal) as X and Subject as Block. Then under the red triangle pick "Campare Means --> With Control, Dunnett's". You will be asked to specify which level that is treated as control.

Script example:

dt = Open**(** "$ENGLISH_SAMPLE_DATA/Blood Pressure.jmp" **)**;

dt << Oneway**(**

Y**(** :BP 8M **)**,

X**(** :Dose **)**,

Block**(** :Subject **)**,

With Control**(** **1**, **{**"Control"**}** **)**,

Comparison Circles**(** **1** **)**

**)**;

2 REPLIES

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You can use the Fit Y by X platform. Set measured variable as Y, sampling (1-8, Nominal or Ordinal) as X and Subject as Block. Then under the red triangle pick "Campare Means --> With Control, Dunnett's". You will be asked to specify which level that is treated as control.

Script example:

dt = Open**(** "$ENGLISH_SAMPLE_DATA/Blood Pressure.jmp" **)**;

dt << Oneway**(**

Y**(** :BP 8M **)**,

X**(** :Dose **)**,

Block**(** :Subject **)**,

With Control**(** **1**, **{**"Control"**}** **)**,

Comparison Circles**(** **1** **)**

**)**;

- Mark as New
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Nov 2, 2011 9:13 AM
(632 views)