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
ank you very much for the help.
John
From: Terry Therneau
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
> regressio
> 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
: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 st
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
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 divid
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