[R] Adjusting confidence intervals for paired t-tests of multiple endpoints
mark_difford at yahoo.co.uk
Mon Mar 2 08:33:48 CET 2009
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.
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
> 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)
> 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
> 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.
> R-help at r-project.org mailing list
> PLEASE do read the posting guide
> and provide commented, minimal, self-contained, reproducible code.
View this message in context: http://www.nabble.com/Adjusting-confidence-intervals-for-paired-t-tests-of-multiple-endpoints-tp22247598p22283385.html
Sent from the R help mailing list archive at Nabble.com.
More information about the R-help