[R] p values from GLM

[Heinz Tuechler]

Bert Gunter wrote on 01.04.2016 23:46:
> ... of course, whether one **should** get them is questionable...
>
> http://www.nature.com/news/statisticians-issue-warning-over-misuse-of-p-values-1.19503#/ref-link-1
>
This paper repeats the common place statement that a small p-value does 
not necessarily indicate an important finding. Agreed, but maybe I 
overlooked examples of important findings with large p-values.
If there are some, I would be happy to get to know some of them. 
Otherwise a small p-value is no guarantee of importance, but a prerequisite.

best regards,

Heinz

>
> Cheers,
> Bert
>
>
>
> Bert Gunter
>
> "The trouble with having an open mind is that people keep coming along
> and sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>
>
> On Fri, Apr 1, 2016 at 3:26 PM, Duncan Murdoch <murdoch.duncan at gmail.com> wrote:
>> On 01/04/2016 6:14 PM, John Sorkin wrote:
>>> How can I get the p values from a glm ? I want to get the p values so I
>>> can add them to a custom report
>>>
>>>
>>>    fitwean<-
>>> glm(data[,"JWean"]~data[,"Group"],data=data,family=binomial(link ="logit"))
>>>    summary(fitwean)             # This lists the coefficeints, SEs, z and p
>>> values, but I can't isolate the pvalues.
>>>    names(summary(fitwean))  # I see the coefficients, but not the p values
>>>    names(fitmens)                  # p values are not found here.
>>
>> Doesn't summary(fitwean) give a matrix? Then it's
>> colnames(summary(fitwean)$coefficients) you want, not names(fitwean).
>>
>> Duncan Murdoch
>>
>> P.S. If you had given a reproducible example, I'd try it myself.
>>
>>
>>
>>>
>>> Thank you!
>>> John
>>>
>>> John David Sorkin M.D., Ph.D.
>>> Professor of Medicine
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> ______________________________________________
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