Hi everyone! I'm trying to figure out how PROC LOGISTIC handles repeated controls in a stratified logistic analysis, meaning that I have a 1:4 matched data set in which a couple of controls are matched to two different cases (ie. these controls show up twice in the data set with different strata values). I know matching with replacement is allowed but I'm wondering about the analysis portion, whether I can just use PROC LOGISTIC with the STRATA statement or something a little more sophisticated?
If you can point me to any readings that address this, that'd be great.
I would use proc glimmix instead with the / dist=binomial model statement option and specify a random statement that partitions the variance down to an individual subject level, such as
random intercept / subject=ID;
or if your controls only appear in one (are nested in one) case-control block, and the block is identified as block,
random intercept block / subject=ID;
Ready to join fellow brilliant minds for the SAS Hackathon?
Build your skills. Make connections. Enjoy creative freedom. Maybe change the world. Registration is now open through August 30th. Visit the SAS Hackathon homepage.
ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.