1. Using offset(logweight) in coxph is the same as using an offset
logweight; statement in SAS, and neither is the same as case weights.
2. For a nested case control, which is what you said you have, the
strata controls who is in what risk set. No trickery with start,stop
times is needed. It
Hi, I am wondering if there is a package for doing conditional
logistic
regression for nested case-control study as described in Estimation
of
absolute
risk from nested case-control data by Langholz and Borgan (1997)
where
Horvitz-Thompson sampling weight (log of (number in the risk set
.
John
From: Terry Therneau thern...@mayo.edu
Cc: r-help@r-project.org
Sent: Mon, February 28, 2011 6:59:23 AM
Subject: Re: [R] nested case-control study
Hi, I am wondering if there is a package for doing conditional
logistic
regression for nested case
Hi:
Using package sos:
# install.packages('sos') # if necessary
library(sos)
findFn('conditional logistic regression')
the following appear to be reasonable candidates to start investigating:
* clogit() in package survival
* clogistic() in package Epi
* clogistCalc()in package saws
, February 27, 2011 12:14:25 PM
Subject: Re: [R] nested case-control study
clogit() takes offsets as part of the formula
casestatus ~ predictor +strata(matchedset) +offset(logweight)
-thomas
Hi, I am wondering if there is a package for doing conditional logistic
regression for nested case-control
Hi, I am wondering if there is a package for doing conditional logistic
regression for nested case-control study as described in Estimation of
absolute
risk from nested case-control data by Langholz and Borgan (1997) where
Horvitz-Thompson sampling weight (log of (number in the risk set
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