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Hi all,
I am working on the large data set on Major
depression disorder. One of the outcome variable of interest is the Hamilton
Depression Rating Scale(its a17 item scale). About 28% of the exit data are
missing. I would like to impute the missing data for the outcome varaible. There
are several covariates associated with the outcome of the data among which one
variable is highly correlated with the outcome variable. What is the correct way
of modeling this kind of data and later for imputation?.
Thanks in advance for any help and suggestion on
this question.
Bala
University of Pittsburgh
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