[R] Cox regression and p-values
Peter Dalgaard
p.dalgaard at biostat.ku.dk
Tue Sep 18 23:15:03 CEST 2007
Duncan Murdoch wrote:
> On 9/18/2007 12:41 PM, Daniel Brewer wrote:
>
>> Hello,
>> I might be barking up the wrong tree here, but I want to make sure I
>> have a full understanding of this. What I would like to know is what
>> tests are performed to give the p-values for each variable in the table
>> that is the result of coxph regression when the variables are
>> categorical only.
>>
>> More specifically, when expected counts are less than 5 is the Fisher's
>> exact test used instead of the Chi^2 test?
>>
>
> I think you need to check the reference (Anderson and Gill) or the
> source to be sure, but I wouldn't expect either of those tests to be
> used here.
>
(That's Andersen, with an 'e'. He's probably used to that misspelling by
now, though.)
Almost everything in this world can be converted to a chi-square
distributed test statistic, but it is not usually the familiar
sum((O-E)^2/E) formula (which is wrong already for the simple two-group
comparison, i.e. logrank test, unless you have special assumptions on
the censoring pattern).
There is no obvious counterpart to the Fisher test available for
survival data, as far as I know.
> I'd guess these are generalized likelihood ratio tests: fit the model
> with the variable, fit it without, and look at the difference in
> (partial) log likelihood. If the variable does not affect the response
> then twice the difference in log likelihood would have an asymptotic
> chi-square distribution.
>
>
The ones in the table of coefficients are Wald tests, I believe. I.e.
they are based on the variance-covariance matrix based on the inverse
Hessian matrix for the likelihood, calculated at the maximum
likelihood estimate.
> Fisher's exact test and the Pearson chi-square test are not appropriate
> here, because the individuals are not exchangeable under the null
> hypothesis.
>
> Duncan Murdoch
>
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