Like the OUTPUT statement that I suggested earlier, PLM's SCORE statement will give you predictions for specified gender and age (note that you can use the ILINK option in PLM to get the predictions on the mean scale instead of on the linear predictor scale). But, as I mentioned, if you want predictions for specified levels of age without specifying gender (essentially averaging over genders as determined by the coefficients specified), then the ESTIMATE statement approach for doing an LS-mean-like calculation is helpful.
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