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st: significances


From   A.Latorre@stud.unibas.ch
To   stata <statalist@hsphsun2.harvard.edu>
Subject   st: significances
Date   Thu, 27 Jul 2006 09:20:45 +0200

Hi!

I analyse data from a study: I have to calculate p-values to check if the
percentage of symptoms by patients and controls are significantly different.

I have data before treatment, after and at follow up (by control only before).

For control versus patients at admission (before) I receive a correctly
calculated p-value.
E.g.: tab febbef thapatient, exact

MY PROBLEM is to calculate the p-values over time:
I tried to do "before versus after" and "before versus follow-up", but that
gives "false p-values" (not what I'm looking for).

E.g.: tab febbef febaft, exact
      tab febbef febcon, exact

febbef: fever at admission (control + patients)
febaft: fever after treatment (only patients)
febfol: fever at follow-up (only patients)
thapatient: if =1 it's a HAT patient if =0 it's a control

Is there another method to calculate p-values over time? perhaps ANOVA test?
(but I don't understand for what that really is and how does it function)

I hope I was clear by my explanation.

I would be happy if someone could help me!

thank's

Anna

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