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RE: st: Conditional logistic regression within GAM
From
Jason Bond <[email protected]>
To
"[email protected]" <[email protected]>
Subject
RE: st: Conditional logistic regression within GAM
Date
Wed, 11 Sep 2013 16:52:59 +0000
Actually, the point of a paper I am writing is to compare fractional polynomial approaches with non- and semi-parametric approaches. There are some pretty dramatic differences between the methods (e.g., confidence limits and others) that I'd like to highlight. Thanks,
Jason
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Steve Samuels
Sent: Tuesday, September 10, 2013 2:54 PM
To: [email protected]
Subject: Re: st: Conditional logistic regression within GAM
-mfp- and -fp- work with -clogit- and has the same purpose as -gam-
Steve
On Sep 10, 2013, at 5:12 PM, Jason Bond wrote:
I am trying to fit a generalized additive model to a matched case-control dataset to model a dichotomous outcome (i.e., using conditional logistic regression) as a function of a continuous risk factor. In the help for the Royston and Ambler 'gam' ado function, the only options allowed are a binomial family and a logit link...which doesn't estimate conditional logistic models. Does anyone know of an implementation of such a procedure? Thanks much in advance,
Jason
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