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Missing value when modeling categorical data

From: wangx826
Date: 07 Oct 2009 22:39:34 -0500

Dear NMUsers,

I am modeling ordered-categorical PD data versus time, but since the
clinical trial is ongoing, I don't currently have complete data set for
each subject. In other words, for some subjects, I have 1 year's PD data,
but for some others, I can only collect PD data for 1 month. For the 1
month's case, it is like missing data for the rest of time. But I need to
consider time course of the proportion of subjects who got a certain PD
score. In my case, if I use the general logistic regression model to fit
the relationship between time and proportions of event, would there be any
problem? If so, how can I avoid it? Or need I consider censoring like
survival analysis?

Any suggestion would be appreciated very much.

Thanks in advance,
Tianli Wang
University of Minnesota
Received on Wed Oct 07 2009 - 23:39:34 EDT

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