[R] Adjusting confidence intervals for paired t-tests of multiple endpoints

Erich Studerus, Psychiatrische Uni-Klinik erich.studerus at bli.uzh.ch
Sat Feb 28 21:23:05 CET 2009


Thanks, but as far as I know the multcomp package and the tukeyHSD function 
can only handle one dependent variable, whereas I have 60 dependent 
variables.

Regards,

Erich


On Sat, 28 Feb 2009 17:41:11 +0000 (UTC)
  Dieter Menne <dieter.menne at menne-biomed.de> wrote:
> Erich Studerus <erich.studerus <at> bli.uzh.ch> writes:
> 
>> 
>> 
>> Dear R-users,
>> 
>> In a randomized placebo-controlled within-subject design, subjects 
>>recieved
>> a psycho-active drug and placebo. Subjects filled out a questionnaire
>> containing 15 scales on four different time points after drug
>> administration. In order to detect drug effects on each time point, I
>> compared scale values between placebo and drug for all time conditions and
>> scales, which sums up to 4*15=60 comparisons.
>> 
> ....
>> Now, I want to adjust the confidence intervals for multiple comparisons.
> 
>For simple cases, see p.adjust or TukeyHSD (more limited).
> 
>For complex cases, see simint and friends in package multcomp.
> 
> Dieter
> 
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