Greetings,
is there are way to simply compute the score-statistics for a logistic
model generated with lrm?
For example, I want to compare the wald-statistics for a given model
against the score-statistics in order to find the relevant predictors.
> attach(iris)
> model = lrm (species~.,iris)
> anova (model)
Wald Statistics Response: Species
Factor Chi-Square d.f. P
Sepal.Length 1.06 1 0.3032
Sepal.Width 2.22 1 0.1358
Petal.Length 3.96 1 0.0465
Petal.Width 3.52 1 0.0605
TOTAL 5.56 4 0.2346
So what I now basically want is an output of the score-statistics to
verify if it leads to the same predictors than the wald-statistics
(anova) and therefore estimate if the score-statistics would produce a
better model.
I hope I stated everything clearly.
Thanks for your help!
Christian
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