Dear all,
I'm currently having some issues with the interpretation of an imputed dataset. The study aims to identify gene associated with response to drug treatment. I imputed a series of clinical response variables in the imputation equation, to gain what I would expect to be more robust estimates. I did not impute the gene's.
Upon using mim and performing various logistic regressions, using for example,
xi: mim: logit response1 i.gene1
using this imputed dataset gives me a nearly identical estimates (ORs, SE, 95%ci) as my unimputed dataset (changes occurred 4th decimal place). So in fact i've not gained anything from using an imputed dataset. Could this be because not imputed by predictor variable, the gene?
Any thoughts appreciated
Regards,
Sham
Research Assistant
ARC Epidemiology Unit
Epidemiology Research Group
School of Translational Medicine
Room 2.514, Stopford Building
University of Manchester
Oxford Road
Manchester
M13 9PT
Tel: +44 (0)161 275 1611
Fax: +44 (0)161 275 1657
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