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Re: st: Simplification of formula in logistic regression


From   SR Millis <srmillis@yahoo.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Simplification of formula in logistic regression
Date   Sun, 15 May 2011 08:39:43 -0700 (PDT)

Mikkel,

I have found nomograms helpful in this regard.  Frank Harrell, in his book, "Regression Modeling Strategies," shows you how to draw a nomogram from the logistic regression function.  This is done in R using Harrell's rms library, which, I believe has replaced his earlier Design and Hmisc libraries.

~~~~~~~~~~~
Scott R Millis, PhD, ABPP, CStat, PStat®
Professor
Wayne State University School of Medicine
Email:  aa3379@wayne.edu
Email:  srmillis@yahoo.com
Tel: 313-993-8085


--- On Sun, 5/15/11, Mikkel Brabrand <mikkel@brabrand.net> wrote:

> From: Mikkel Brabrand <mikkel@brabrand.net>
> Subject: st: Simplification of formula in logistic regression
> To: statalist@hsphsun2.harvard.edu
> Date: Sunday, May 15, 2011, 10:43 AM
> All,
> 
> I have performed a logistic regression analysis including
> five variables and one outcome. However, I would like to
> simplify the formula significantly for clinical use. So,
> instead of the formula been something like
> -12.22+2.33*systolic blood pressure-1.21*temperature etc., I
> would like to make a scoring system where the score is
> calculated on basis of the measured values of the vital
> signs. 
> 
> An example could be something like this
> 
> .................2 points..1 point...0 points...1
> point.....2 points
> 
> Pulse   
> ...........-30........31-50....51-100....101-200..201-
> 
> Sys. BP.........-60........61-100..101-200...201- 
> 
> However, I have no idea how to find the optimal cut-off
> points. Do any of you have a suggestion how to do this
> statistically correct?
> 
> 
> 
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