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Old 08-07-2014, 07:19 PM   #14
mikep
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Location: Singapore

Join Date: Feb 2011
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Well I'm a fan of parametric over parametric, what I was suggesting is a better design in which you take the paired nature of the data into account

... my R is crap but something like design <- model.matrix(~drug+patientID). The paired analysis may well go a long way to removing the biological variability.

re Q2: correct, if the pvalues are not significant after correction you cannot publish alone. if you have some kind of orthagonal validation like qPCR then you can.
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