[R] Optimal Y>=q cutoff after logistic regression
Viechtbauer Wolfgang (STAT)
wolfgang.viechtbauer at maastrichtuniversity.nl
Mon Feb 14 15:30:18 CET 2011
That's definitely one for the fortune package!
Wolfgang
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
> On Behalf Of Frank Harrell
> Sent: Monday, February 14, 2011 14:50
> To: r-help at r-project.org
> Subject: Re: [R] Optimal Y>=q cutoff after logistic regression
>
>
> It is very seldom that such a cutoff is real and validates in another
> dataset. As described so well in Steyerberg's book Clinical Prediction
> Modeling there are many good ways to present models to non-statisticians.
> Nomograms and calibration curves with histograms of predicted
> probabilities are two good ones.
>
> There is a reason that the speedometer in your car doesn't just read
> "slow" and "fast".
>
> Frank
>
> -----
> Frank Harrell
> Department of Biostatistics, Vanderbilt University
> --
> View this message in context: http://r.789695.n4.nabble.com/Optimal-Y-q-
> cutoff-after-logistic-regression-tp3304474p3305012.html
> Sent from the R help mailing list archive at Nabble.com.
>
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