[R] Adjusting confidence intervals for paired t-tests of multiple endpoints
Erich Studerus
erich.studerus at bli.uzh.ch
Mon Mar 2 11:28:43 CET 2009
Thanks, this comes close to what I need, but the problem is that I have
repeated measures in each comparison and SimComp does not seem to handle
this. In my experiments, each subject received both placebo and the drug in
a randomized order. So, I want to do multiple paired t-test corrected for
multiple comparisons. I'm primarily interested in the corrected confidence
intervals because I want to plot the mean differences with it.
Regards,
Erich
-----Ursprüngliche Nachricht-----
Von: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] Im
Auftrag von Mark Difford
Gesendet: Montag, 2. März 2009 08:34
An: r-help at r-project.org
Betreff: Re: [R] Adjusting confidence intervals for pairedt-tests of
multiple endpoints
Hi Erich,
Look at the SimComp package, which handles multiple endpoints, i.e. columns
of response variables. Ratio-comparisons are also handled. Good ready-made
range of comparisons; you can also set up your own.
Regards, Mark.
Erich Studerus wrote:
>
> Johannes Huesing <johannes at huesing.name> wrote:
>> Couldn't you re-phrase your model by including timepoint as a continuous
>> regressor and scale as a factor?
>
> Well, the measuring time points are 70 170, 300 and 1440 minutes after
> drug
> intake. Since the influence of time is cerainly not linear, I think it's
> better to treat it as categorical factor. In fact, I already calculated
> mixed effects models with the four-level factor time and the two-level
> factor treatment and random effects factors subjects (nested in studies)
> and
> studies for each scale. I used mixed effects models, because I'm doing a
> meta-analysis on the raw data of 8 studies. Thus my dataset has not only a
> grouping structure, but is also unbalanced (not all studies did 4
> measurements). I'm not sure, if I could extend my model by including
> another
> factor for scale, since these scales measure quite different things. I
> guess, It would be also very difficult the set up appropriate contrasts to
> compare each scale on each measuring time point.
>
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