Re: Canadian doctors coming to the US
From: George Conklin (nilknoc_at_earthlink.net)
Date: 09/02/04
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Date: Thu, 02 Sep 2004 18:57:44 GMT
"Herman Rubin" <hrubin@odds.stat.purdue.edu> wrote in message
news:ch7bd2$4eqk@odds.stat.purdue.edu...
> In article <mqEYc.4785$JT3.18@newsread3.news.atl.earthlink.net>,
> George Conklin <nilknoc@earthlink.net> wrote:
>
> >"Orac" <orac@mac.com> wrote in message
> >news:orac-EF355F.16333529082004@news4-ge1.srv.hcvlny.cv.net...
> >> In article <cgt8fn$22fi@odds.stat.purdue.edu>,
> >> hrubin@odds.stat.purdue.edu (Herman Rubin) wrote:
>
> >> > In article <orac-A727DC.21270928082004@news4-ge1.srv.hcvlny.cv.net>,
> >> > Orac <orac@mac.com> wrote:
> >> > >In article <cgra53$4a0m@odds.stat.purdue.edu>,
> >> > > hrubin@odds.stat.purdue.edu (Herman Rubin) wrote:
>
> >> > >> In article <41309b16$0$18253$79c14f64@nan-newsreader-05.noos.net>,
> >> > >> Lictor <ghostmlNOSPAM-REMOVE@online.fr> wrote:
>
> ....................
>
> > Herman denies that the usual test of statistical significance is a vaid
> >test of how effective medicine is. Thus anything the government posts
would
> >automatically be invalid in his mind. I have never really understood why
he
> >insists that only Bayesian analysis be used, since he has never shown
that
> >the results would be changed if you change the test. Anyway......
>
> A test of statistical significance tests whether the
> observations would be "sufficiently unlikely" if the
> null hypothesis is EXACTLY true, and NOTHING else.
>
Based on this comment, we could never do any medical research since all
variables cannot be controlled.
Having said that, self-selection, social class and a whole lot of other
variables have fouled medical findings now for many years. They also ignore
things like stress, since it is not something a BENCH scientist does.
> It does not take into account how effective the
> procedure is under the alternatives, nor the magnitude
> of the effect under the null, and hence does not balance
> the various components of risk. If 50% of the people
> exposed to a disease without treatment died, and 51%
> of 1,000,000 people given a treatment survived, this
> would be HIGHLY significant.
So? People would see from the figures what the effect was and the risk
too.
If there was a new
> treatment given to 4, and they all survived, this
> would not meet the customary significance level.
> Which treatment would YOU choose?
>
False choice too Herman. Today we are wondering if common treatments
might make things worse, like HRT.
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