From | VISINTAINER PAUL <[email protected]> |
To | "'[email protected]'" <[email protected]> |
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. Paul -----Original Message----- 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. Paul -----Original Message----- Dear statalist 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 Michael Ingre ----------------- * |
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