Ummmmm, could we restrain the debate to statistical issues, and not get into politics and name-calling?
A debate about the merits of MLE vs. multiple impuation for various kinds of missing data problems (or more generally) would interest me, and probably others on this list, and would, I think, be an excellent example of the benefits of lists like this . A discussion of politics would also interest me, but this is not the place for it. Name calling is just silly, and is an indication that one lacks better arguments. We're all professionals here; most of us, I dare say, with graduate degrees. Let's act like it. Peter Phil Good wrote <<< We're sure you don't. Rumsfeld and Bush have similar problems. But I'll give you a hint: Focus on the fine characteristics--use estimating procedures that have them. (And MLE's do under extremely restrictive and unrealistic assumptions normally satisfied only in the academically large.) >>> Peter L. Flom, PhD Assistant Director, Statistics and Data Analysis Core Center for Drug Use and HIV Research National Development and Research Institutes 71 W. 23rd St www.peterflom.com New York, NY 10010 (212) 845-4485 (voice) (917) 438-0894 (fax) . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
