Dear Mr Frank,
Â
I thank you for your prompt reply. However, I am not able to understand (may be
since for me R is a new venture) the contents of your reply. If its a book you
are referring to, I don't have access to it. How do I get @ARTICLE{hos97com and
how do I run it in R?
Â
Thanking you in adavance
Â
With regards
Â
Saggak
Â
--- On Tue, 16/9/08, Frank E Harrell Jr <[EMAIL PROTECTED]> wrote:
From: Frank E Harrell Jr <[EMAIL PROTECTED]>
Subject: Re: [R] Hosmer- Lemeshow test
To: [EMAIL PROTECTED]
Cc: "R list" <[EMAIL PROTECTED]>
Date: Tuesday, 16 September, 2008, 4:38 PM
saggak wrote:
> Dear R - help,
>
> I am working on the Credit scorecard model. I am using the Logistic
regression to arrive at the regression coefficients model.
>
> I want to use the Hosmer - Lemeshow test .
>
> In order to understand the use of R - language, I had referred the
following URL
>
> Ã Ã Ã Ã Ã
http://www.stat.sc.edu/~hitchcock/diseaseoutbreakRexample704.txt
>
> The related data 'diseaseoutbreak' is available at the following
URL
>
> Ã Ã Ã Ã Ã Ã
http://www.stat.sc.edu/~hitchcock/diseaseoutbreakdata.txt
>
> The R code as mentioned therein is
>
> ####
> # A function to do the Hosmer-Lemeshow test in R.
> # R Function is due to Peter D. M. Macdonald, McMaster University.
> #
> hosmerlem <-
> function (y, yhat, g = 10)
> {
> cutyhat <- cut(yhat, breaks = quantile(yhat, probs = seq(0,
> 1, 1/g)), include.lowest = T)
> obs <- xtabs(cbind(1 - y, y) ~ cutyhat)
> expect <- xtabs(cbind(1 - yhat, yhat) ~ cutyhat)
> chisq <- sum((obs - expect)^2/expect)
> P <- 1 - pchisq(chisq, g - 2)
> c("X^2" = chisq, Df = g - 2, "P(>Chi)" = P)
> }
> #
> ######
>
> # Doing the Hosmer-Lemeshow test
> # (after copying the above function into R):
>
> hosmerlem(disease, fitted(disease.logit))
> However when I ran these commands / functions in R, I got following errors
>
> Error in model.frame.default(formula = cbind(1 - y, y) ~ cutyhat) :
> Ã invalid type (list) for variable 'cbind(1 - y, y)'
>
> Can anyone please guide me as to how to run Hosmer- Lemeshow test, as also
how to find out the other usual logistic regression related "Log -
likelihood, AIC, Pseudo R etc"?
>
> Thanking you all in advance
>
> Saggak
That test is too dependent on cutpoints and does not have adequate power
. I recommend replacing it with
@ARTICLE{hos97com,
author = {Hosmer, D. W. and Hosmer, T. and {le Cessie}, S. and
Lemeshow, S.},
year = 1997,
title = {A comparison of goodness-of-fit tests for the logistic
regression
model},
journal = Statistics in Medicine,
volume = 16,
pages = {965-980},
annote = {goodness-of-fit for binary logistic model;difficulty with
Hosmer-Lemeshow statistic being dependent on how groups are
defined;sum of squares test;cumulative sum test;invalidity
of naive
test based on deviance;goodness-of-link function;simulation
setup}
which is implemented in the residuals.lrm function in the Design package.
--
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University
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