
Dear All,

I know this may be a trivial question.

In the past I have used glm to make logistic regressions on data. The output creates an object with the results of the logistic regression. This object can then be used to make predictions.

Great.

I have a different problem. I need to make predictions from a logistic regression taken from a paper. Thus I need to (by hand) enter the reported odds ratios, compute the betas and enter these into an object in order to use the predict.

Sure, I can write a function myself (the logit function) to make these predictions. But I was wondering how one can do this by creating a glm output object by entering this  manually and then use the predict.

I couldn't find any helpful site.

Thanks.

RAff.
 
 		 	   		  
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