multiple paired t-tests
so you want to find a needle in a haystack, not an easy task. You should account for multiple tests, which is as far as I can see not done in the code yet - or you have to accept that you find a bunch of hay which accidentally looks pretty much like a needle. There are some solutions in doing such things for instance finding relevant SNPs in microarray data. Maybe your task is quite similar. Eik Dan Kortschak schrieb:
That is a valid point, the number of samples I expect to be different is actually quite small, but it is supportable (or otherwise) by other experimental data. Unfortunately the question I really want answered is pretty much covered by doing this. thanks Dan On 25/03/2009, at 10:25 AM, Eik Vettorazzi wrote:
.. and you will end up - in your example- with 60 t-statistics and p-values (so you do bonforroni adjustment or something like that)?! Sometimes the question for "How do I ..." should be read as "What is the question I *really* want to be answered ...". You may consider doing some more sophisticated analysis.
Eik Vettorazzi Institut f?r Medizinische Biometrie und Epidemiologie Universit?tsklinikum Hamburg-Eppendorf Martinistr. 52 20246 Hamburg T ++49/40/42803-8243 F ++49/40/42803-7790