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
* the TwoStepClogit package

HTH,
Dennis

On Sat, Feb 26, 2011 at 10:37 PM, array chip <arrayprofile@yahoo.com> wrote:

> 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 divided by
> the
> number sampled)) is used with regression. In SAS Proc Phreg, this is
> implemented
> as an offset (offset=logweight). I checked clogistic() in Epi package and
> clogit() in survival package, but couldn't figure out how to incorporate
> this
> weighting with either.
>
>
> Also when considering nested case-control sampling for Cox proportional
> hazards
> model, the above method can estimate absolute risk of developing disease
> over a
> specified time interval. Appreciate if anyone has any suggestion on how to
> do
> this in R.
>
> Thanks very much!
>
> John
>
>
>
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