Y'all,

I'd like to open with an apology for my statistical ignorance here ... I'm not extremely savvy with complex analyses. I'm needing to do some regression analyses on the effects of five independent variables, four of which are continuous and one of which is categorical, on number of episodes of a given disorder (which is obviously continuous).

My first instinct was to run PROC LOGISTIC on account of the categorical independent variable, but as the dependent variable isn't categorical, I'm under the impression that PROC LOGISTIC would be inappropriate. I've been using PROC GENMOD lately with the assistance of a consultant with much more training than I, and it occurred to me that a generalized linear model might work here. I threw this together:

proc genmod data = work.ANALYSIS_I; class FAMILY_ID SEX; model N_EPISODES = ONSETAGE_MDD ONSETAGE_FIRST SEX AGE_AT_T1; repeated subject = FAMILY_ID/corr=cs corrw; run;

The repeated subject = FAMILY_ID takes the relation between certain subjects (these data were originally collected as part of a longitudinal family study).

My question, in short, is if this is a legit use of PROC GENMOD. And if it's not, can someone suggest an appropriate tool?

I've received a bit of help on a number of different issues from SAS-L lately. Thank you all for your help, past and present. I'm learning so much ... it's greatly appreciated.

Doug out.

------------------------------------------- Doug Cacialli - Data Manager / Data Analyst Depression Research Laboratory University of Rochester Medical Center 300 Crittenden Boulevard - Box PSYCH Rochester, New York 14642 Phone: (585)273-3309 Fax: (585)506-0287 -------------------------------------------