[讨论]Proc GENMOD vs. Proc SURVEYLOGISTIC?

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PROCs GENMOD and SURVEYLOGISTIC each have certain useful features that the other one doesn't have. I'm trying to find out which set of capabilities is more important for my data. This question is somewhat moot for me, since I don't have SAS 9, so I can't use PROC SURVEYLOGISTIC. But maybe I can learn something, anyway.

I have data in which many subjects have repeated observations. I am modeling a binary dependent variable, and wanted to use PROC GENMOD for its GEE capabilities. The observations are from direct marketing contacts to try to enroll the subjects into a program. A subject may be contacted several times, but such contacts will cease upon enrollment in the program. The binary dependent variable is for enrollment / non-enrollment. But all of these marketing contacts come from individual campaigns, each with multi-cell design plans. Which is why I was curious about the possibility of applying PROC SURVEYLOGISTIC. I'm not sure whether the effect of the designs is more or less important than the dependence structure of multiple observations per subject. Any advice, ideas, poems, threats, etc. are welcome.

Thanks!

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关键词：logistic ogistic logisti genmod Survey 讨论 proc genmod

There was an interesting article on these issues: Lee, Youngjo; Nelder, John A. (2004). Conditional and marginal models: Another view. Statistical science. 19 219-238. I can't say I fully understood all of the points, but they seem to argue against GEE models generally. I'd be intereted in discussing this with anyone else who has read the article, or other articles on similar issues Peter 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 http://cduhr.ndri.org www.peterflom.com New York, NY 10010 (212) 845-4485 (voice) (917) 438-0894 (fax)