>>> I still don't think the exp(lp)/(1+exp(lp)) gonna work. Since this is >>> conditional logit model, while this formula is only used in unconditional >>> ones. By using this, one neglects the information based on stratum. Though >>> I don't know how to solve it to. I am also working on a project on this and >>> I do hope there's someone explaining this problem. Will that be a >>> possibility that the phat can never be estimated as we never know the >>> individual intercept?
>> This appears to be addressed to a thread that appeared almost three years >> ago. I suspect you have not read all the way to the end of the thread: >> >> https://stat.ethz.ch/pipermail/r-help/2010-April/235956.html On Feb 28, 2013, at 5:45 PM, lisa wrote: > I do appreciate this answer. I heard that in SAS, conditional logistic model > do predictions in the same way. However, this formula can only deal with > in-sample predictions. How about the out-of-sample one? Is it like one of the > former responses by Thomas, say, it's impossible to do the out-of-sample > prediction?? I do not understand how an "out-of-sample" conditional estimate makes any logical sense. The questioner was asking why he was getting values outside the range of [0,1] which is not the same as asking for estimates for strata outside the range of the stratum values. Charles Berry gave another sensible answer, but I did not interpret his suggestion as solving what you seem to be requesting. -- David Winsemius Alameda, CA, USA ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
