i see two places in the sterne and smith article, which is in my hand ...
that say hat p is an indication of the p of the null not being true ... or
evidence against the null
on page 2 of 10 ... they list summary points and, the one i quoted before
... p values, or significance levels .. measure the strength of the
evidence against the null ...
on page 7 of 10 ... we suggest that journal editors require that authors of
research reports follow the guidelines in box 2 ...
and in box 2 ... #3, when there is a meaningful null hypothesis, the
strength of evidence against it should be indexed by the P value ...
i am certainly NOT implying that this is all they have to say about this
topic ... just that it is ONE thing they say ... twice ... so, that is what
i was questioning the general statistical community about
At 05:06 PM 1/29/01 -0400, Richard A. Beldin wrote:
>This is a multi-part message in MIME format.
>--------------152074D07C4F46BEF5496A61
>Content-Type: text/plain; charset=us-ascii
>Content-Transfer-Encoding: 7bit
>
>One should note that this comment was taken from an article critical of
>significance testing. I understand Sterne and Smith's comment to
>characterize a point of view which they do not support, but which they
>project onto consumers of statistics. (I think they could have been a
>bit clearer about their own point of view, but this is how I read the
>statement in the context of what follows.)
=================================================================
Instructions for joining and leaving this list and remarks about
the problem of INAPPROPRIATE MESSAGES are available at
http://jse.stat.ncsu.edu/
=================================================================