Adjusting confidence intervals for paired t-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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