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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