David,
Faraway suggests using the Hosmer Lemeshow test in the case of a
binary response, and discusses the inadequacy of Wald statistics.
However, I'm not sure it applies here due to the limited number of
cases.
Thanks, Ehud.
On Wed, Apr 22, 2009 at 2:04 AM, David Winsemius wrote:
> Surely Fara
Surely Faraway does not suggest using the Wald statistic in preference
to the deviance?
Even if the distribution of deviance is not exactly chi-square, it
appears generally accepted that a comparison of the difference in
deviance to the chi-square statistic is better than using the ratio of
I thought of testing the difference in deviance between the null model
and the fitted model, assuming it is distributed as chi-sq. However,
Faraway writes that if the outcome is binary, the deviance
distribution is far from chisq.
I've done a permutation test:
N<-5000; # Towards the upper limit, a
You should review your course material on interpreting general linear
models. The criterion you have chosen for "significance" (looking at p
values for indivdiual coefficients) is not the recommended one. Seek
out the section that discusses the proper method for using deviance
estimates for
Hi,
We have an experiment with pass/fail outcome, and a continuous
parameter which may contribute to the outcome.
First, we've analyzed it by:
p=c(F,T,F,F,F,T,T,T,T,T,T,T,F,T,T,T,T);
w=c(53,67,59,59,53,89,72,56,65,63,62,58,59,72,61,68,63);
l<-glm(p~w,family=binomial)
summary(l)
Which turned out
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