Thomas, thank you for pointing this out!

On another note, do you think coxph() will also take offset(logweight) as part 
of the formula? Or just use the argument weight=logweight in coxph()?

Thanks!

John




________________________________
From: Thomas Lumley <tlum...@uw.edu>

Sent: Sun, 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 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
>
>
>
>        [[alternative HTML version deleted]]
>
>
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>



-- 
Thomas Lumley
Professor of Biostatistics
University of Auckland



      
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