Answered my own question.
In survey, summary does it.
On 2312//2013, 5:31 PM, "Nathan Pace" wrote:
>
>>The svycoxph function in the survey package loads the survival package
>>and
>>produces objects of class svycoxph and coxph.
>>
>>The print.coxph function - print(coxph.object, conf.int = 0.95
>The svycoxph function in the survey package loads the survival package and
>produces objects of class svycoxph and coxph.
>
>The print.coxph function - print(coxph.object, conf.int = 0.95) - in the
>survival package lists the values of the coxph object including the hazard
>ratios with 95% CIs.
>
Thank you, Dr. Therneau... I got a similar answer from Dr. Lumley:
On Mar 24, 2012, at 4:05 PM, Thomas Lumley wrote:
> As far as I know there isn't any theoretical justification for the
> t-distribution but it empirically works better.
>
> You can get tests with a t or F reference distribution e
On 03/24/2012 06:00 AM, r-help-requ...@r-project.org wrote:
I have been using the function 'svycoxph' in the Dr. Lumley's survey package
(version 3.26) to compute coefficient estimates for Cox regression.
I have noticed the p-values output are based on normal distribution (like in
coxph); howe
Hello,
I have been using the function 'svycoxph' in the Dr. Lumley's survey package
(version 3.26) to compute coefficient estimates for Cox regression.
I have noticed the p-values output are based on normal distribution (like in
coxph); however in svyglm (and in other software, such as Stata or
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