|From||VISINTAINER PAUL <PAUL_VISINTAINER@nymc.edu>|
|Subject||st: RE: RE: clogit or logistic for matched pairs|
|Date||Thu, 6 Nov 2003 14:01:31 -0500|
My message should have said that -clogit- WOULDN'T work in the usual sense, because it requires the dependent variable to have at least one discordant pair in every cluster.
If I understand your description of the study, Michael, you don't have a case-control study, but rather a matched cohort study, (e.g., exposed twin vs. unexposed twin). -clogit- would work for you in the usual sense, unless you regressed exposure status on disease. You might want to try -xtlogit- which will take into account the clustering of your independent exposure variable. This will satisfy your need for a conditional approach. Depending on your data and the covariates you include, you may actually get an outcome that is quite close to -logit- with a robust option.
I want to estimate the risk for an exposed twin to
develop a symptom
The most obvious method should be -clogit- however,
I'm not satisfied with
Like McNemar, it excludes the ties between cases and
controls and the odds
I have been criticized for using logistic regression
with the cluster option
Actually, the criticism is harder than that: My analyses
is said to be
. logistic dv iv , cluster(twinpairid)
Do you have any advice?
Thanks in advance