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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