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

Mark Difford mark_difford at yahoo.co.uk
Mon Mar 2 08:33:48 CET 2009

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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