Johannes Huesing wrote:
Frank E Harrell Jr <[EMAIL PROTECTED]> [Sat, Jul 19, 2008 at 08:03:01PM CEST]:
But even then
why condition on incomplete information when complete information is
available? I.e., why compute Pr(Y=1 | X>x) in place of Pr(Y=1 | X=x)?
Because regulatory bodies demand it? Being employed in a medical school
you are certainly aware that regulatory bodies are very much into eliciting
a "benefit" in terms of "rate of subjects cured" and do not believe in
a treatment effect expressed as a "mere" shift in the parameter.
(Not that this notion weren't my pet peeve; but it's there and we have to
deal with it.)
Johannes,
It is a mistake to believe that regulatory authorities always require
this just because they occasionally do. This is more in the imagination
of pharmaceutical company medical staff. And how anyway does this
relate to predictors in a model?
If statisticians don't stand up to this silliness who is going to?
Frank
--
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University
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