Hello All, I've fit a Poisson regression and would like to estimate marginal incidence rates for each of say, m, treatments, 'adjusting' for a few factors.
I'm pretty sure this can be accomplished using an estimate analogous to a least squares means for 'regular' regression, though I haven't worked it out yet. Presumably, this will be accomplished via asymptotic normality of the MLE. Anyways, I would greatly appreciate any leads/pointers regarding 1. References (hopefully online, without too much measure-theoretic detail)and/or 2. Related SAS or R/S+ code. I've already begun the above tasks, but as an isolated, non-academic, statistician, with minimal access to references (etc.), any help in decreasing my learning curve would be most appreciated. Oh, and the 'generalized' term in the subject line is just what I thought is a useful descriptor, and not the same as that given in Venables and Ripley's MASS. Gratefully yours, Iyue ------------------------------------------------------------------ . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
