Message-ID: <425FDAB8.7020508@vanderbilt.edu>
Date: 2005-04-15T15:16:08Z
From: Frank E Harrell Jr
Subject: Range in probabilities of a fitted lrm model (Y~X)
In-Reply-To: <001501c541bc$d37f4e80$1145210a@agr.ad10.intern.kuleuven.ac.be>
Jan Verbesselt wrote:
> Dear R-list,
>
> Is there a function or technique by which the probability (or log odds)
> range of a logistic model (fit <- lrm(Y~X)) can be derived?
See documentation - type ?predict.lrm
probs <- predict(fit, type='fitted')
FH
>
> The aim is to obtain min & max of the estimated probabilities of Y.
>
> Could summary.Design() be used for that or is there another method/trick?
>
> Thanks,
> Jan
>
>
>
> _______________________________________________________________________
> ir. Jan Verbesselt
> Research Associate
> Lab of Geomatics Engineering K.U. Leuven
> Vital Decosterstraat 102. B-3000 Leuven Belgium
> Tel: +32-16-329750 Fax: +32-16-329760
> http://gloveg.kuleuven.ac.be/
>
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--
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University