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.dun...@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.
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