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st: logistic regression predictors


From   lilian tesmann <lilian_tes@hotmail.com>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: logistic regression predictors
Date   Sun, 18 Jul 2010 16:27:46 +1030

Dear All,

I am trying to predict mortality rates in a specific population of clients.
I encountered two problems and would be really grateful for any insights or suggestions.

(1) We have one predictor – a health condition, which is present in only 5% of population but over70% of people with that condition die. Not surprisingly OR is very large (from 25 to 50). The purpose of the analysis is to obtain individual predictions, but they are hugely influenced by this health condition. Could anyone suggest how to deal with this problem?

(2) Another problem is that in this very specific clinical population another two health conditions, which are usually very significant predictors of death, have OR=0.3-0.5. The result it has on prediction is that according to my model, sicker people have a lower risk of dying. It looks to me as a collinearity issue between predictors and our inclusion/exclusion criteria which created this population. What do I do in this situation? We cannot change inclusion criteria and we have only a small number of predictors, three of them with ‘behavior problems’.

Any ideas, suggestions, tips are very welcome!

Thanks, Lilian 		 	   		  
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