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RE: Cancer deficiency clusters
One more detail:
The age distribution and year of entry in the workforce; socio-economic
status, ethnicity, medical coverage, etc. are similar in nuclear (NW)
and non-nuclear workers (NNW): Comparison between the two groups is
legitimate. The odds ratio for all cancers (NW vs NNW) is 0.82 (95%
confidence interval = 0.74 - 0.90). OR in NW (0.82) is between 4 and 5
sd below OR 1.
Philippe Duport
-----Original Message-----
From: owner-radsafe@list.vanderbilt.edu
[mailto:owner-radsafe@list.vanderbilt.edu] On Behalf Of
hflong@postoffice.pacbell.net
Sent: July 19, 2002 7:03 AM
To: jjcohen
Cc: Gibbs, S Julian; Jacobus, John (OD/ORS); Radsafe Mail list
Subject: Re: Cancer deficiency clusters
Yes, Jerry,
Such a study has been done on 27,872 nuclear shipyard workers - but
until
recently only reported as not showing expected increase in cancer.
John Cameron, one of 8 members of the technical advisory committee of
the
Nuclear Shipyard Workers Study reports, "The cancer death rate of the
NW>0.5
group [those receiving an extra 0.5 rem] was over 4 std.dev. lower than
the
NNW control group [non-nuclear workers of similar ages and jobs]. This
good
news is not mentioned but the data are available in the final report."
http://www.aps.org/units/fps/oct01/a5oct01.html
Howard Long
jjcohen wrote:
> I am not an epidemiologist, so perhaps someone else might shed some
> light on this question.-- Suppose a community were found to
> have a cancer incidence significantly below statistical expectation.
> Certainly such communities must exist, perhaps even near nuclear power
> plants.
> What are the chances that one might obtain funding to investigate
probable
> causes for cancer deficiency? Has such study ever been done?
>
> ----- Original Message -----
> From: Gibbs, S Julian <s.julian.gibbs@vanderbilt.edu>
> To: Jacobus, John (OD/ORS) <jacobusj@ors.od.nih.gov>; Radsafe Mail
list
> <radsafe@list.vanderbilt.edu>
> Sent: Tuesday, July 16, 2002 9:40 AM
> Subject: RE: Cancer clusters
>
> > Unfortunately it is not just this issue that provides studies for
> > epidemiologists (Note I did not say income; most are salaried and
> > get their money anyway.) The multitudes of associations reported
> > in the scientific literature and the lay press (e.g., eating peas
> > of color x causes or prevents cancer in organ y). Most of these
> > studies use an alpha of 0.05. That says that 5% of the studies are
> > false positives!
> > Note: I am not a statistician, but am aware of how one can distort
> > the truth (I did not say lie) with statistics.
>
>
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