On 17 Jun 2014, at 16:38 , Therneau, Terry M., Ph.D. wrote:
> As Peter D said, the clogit function simply sets up a special data set and
> then calls coxph, and is based on an identity that the likelihood for the
> conditional logistic is identical to the likelihood of a Cox model for a
> spe
I ususally scan the digest for "surv", so missed your question on the first
round.
You caught predict with a case that I never thought of; I'll look into making
it smarter.
As Peter D said, the clogit function simply sets up a special data set and then calls
coxph, and is based on an identity
peter dalgaard gmail.com> writes:
>
>
> On 16 Jun 2014, at 05:22 , array chip yahoo.com> wrote:
>
> > Hi, I am using clogit() from survival package to do conditional
> > logistic regression. I also need to make prediction on an
> > independent dataset to calculate predicted probability. Here
Thank you Peter. Any other suggestions are absolutely welcome!!
John
From: peter dalgaard
Cc: "r-help@r-project.org"
Sent: Monday, June 16, 2014 2:22 AM
Subject: Re: [R] prediction based on conditional logistic regression clogit
> H
On 16 Jun 2014, at 05:22 , array chip wrote:
> Hi, I am using clogit() from survival package to do conditional logistic
> regression. I also need to make prediction on an independent dataset to
> calculate predicted probability. Here is an example:
>
>
>> dat <- data.frame(set=rep(1:50,each=
Hi, I am using clogit() from survival package to do conditional logistic
regression. I also need to make prediction on an independent dataset to
calculate predicted probability. Here is an example:
> dat <- data.frame(set=rep(1:50,each=3), status=rep(c(1,0,0),50),
> x1=rnorm(150,5,1), x2=rnorm
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