[R] clogit and general conditional logistic regression

[vito muggeo]

Hi Ted,
The conditional exact (log)-Lik for a conditional logistic model (i.e. data
with matched pairs), and the exact (log)-Lik for a PH Cox model are *the
same* (1 matched pair== risk set), therefore clogit() is a wrapper for
coxph() (You can estimate conditional logistic model by means of coxph())

> My question is: is 'clogit' capable of a general conditional
> logistic analysis?

Yes, however I don't know if "general" means something else that I ignore,

best,
vito



----- Original Message -----
From: "Ted Harding" <Ted.Harding at nessie.mcc.ac.uk>
To: <r-help at stat.math.ethz.ch>
Sent: Tuesday, December 10, 2002 12:35 PM
Subject: [R] clogit and general conditional logistic regression


> Can someone clarify what I cannot make out from the
> documentation?
>
> The function 'clogit' in the 'survival' package is
> described as performing a "conditional logistic regression".
> Its return value is stated to be "an object of class clogit
> which is a wrapper for a coxph object."
>
> This suggests that its usefulness is confined to the sort of
> data which arise in survival/proportional hazard applications.
>
> My question is: is 'clogit' capable of a general conditional
> logistic analysis?
>
> E.g. given a set of data on binomial experiments with Y=1
> r_i times out of n_i, associated with levels A_i and B_i
> of factors A and B at N_A and N_B levels, would
>
>   clogit(Y ~ A+B, method=c(Exact"))
>
> generate something sensible containing the results of a standard
> exact conditional logistic regression of Y on A and B?
>
> With thanks,
> Ted.
>
>
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> Date: 10-Dec-02                                       Time: 11:35:16
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