Message-ID: <49C9F3A0.9090101@uke.uni-hamburg.de>
Date: 2009-03-25T09:04:32Z
From: Eik Vettorazzi
Subject: multiple paired t-tests
In-Reply-To: <C7696572-567C-4761-A56D-D86D90091C00@adelaide.edu.au>
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