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Re: Wing: Descriptive Epidemiology by Any Other Name...
n Wed, 26 Feb 1997, Ron L. Kathren wrote:
> Vintage Dan Strom -- clearly thought out, well put (albeit lengthy).
>
--If someone does not understand the difference between testing a
linear-no threshold theory and determining a dose-response relationship,
he is surely not thinking clearly.
If a person can't put his criticisms of a scientific work into a
scientific paper or letter-to-the-editor suitable for publication, he is
surely not thinking clearly.
Bernard L. Cohen
Physics Dept.
University of Pittsburgh
Pittsburgh, PA 15260
Tel: (412)624-9245
Fax: (412)624-9163
e-mail: blc+@pitt.edu
Bernard L. Cohen
Physics Dept.
University of Pittsburgh
Pittsburgh, PA 15260
Tel: (412)624-9245
Fax: (412)624-9163
e-mail: blc+@pitt.edu
On Wed, 26 Feb 1997, Ron L. Kathren wrote:
> Vintage Dan Strom -- clearly thought out, well put (albeit lengthy).
>
> When, oh when, are we going to get together on the work for ALOO?
>
> Ron
>
> >In 1877 Henle and Koch first addresssed association and causation (Evans
> >1976), and their work was revisited two decades ago (Rothman 1976). Sir
> >Austin Bradford Hill published an influential work on association and
> >causation (Hill 1965). Another perspective can be found in the work of
> >Susser (1991). Canadian and U.S. leaders addressed the quality of
> >epidemiologic evidence under the title "Hierarchy of Evidence" (U.S.
> >Preventive Services Task Force 1989). Most recently, the Federal Focus
> >expert panel explained why descriptive epidemiology studies don't get
> >much respect among risk analysts when they try to come to quantitative
> >conclusions (Graham et al. 1996).
> >
> >I have always been critical of the application of descriptive
> >epidemiology (e.g., ecologic studies) to quantitative problems (Strom
> >1997, 1991a). "Descriptive studies are generally viewed as useful for
> >identifying or formulating causal hypotheses, but not a sufficient to
> >test such hypotheses, because they lack data on individuals, such as
> >individual exposures, potential confounding exposures, factors affecting
> >individual susceptibility, and potential biases. In contrast, studies
> >generally termed 'analytic' aim to establish risk factors for
> >populations and individuals by ascertaining individual exposures and
> >controlling for other variables such as gender, age, race, or exposure
> >to other agents that could affect risk estimates independently
> >(potential 'confounders'), potential study biases, and variations in
> >host susceptibility. There are two main types of analytic epidemiology:
> >case-control and cohort studies..." This quote is from a new book
> >written by an expert panel of risk assessors in 1995 entitled
> >"Principles for Evaluating Epidemiologic Data in Regulatory Risk
> >Assessment" (Graham et al. 1996). The panel was comprised of an
> >international group (mostly from the USA, however) of well-respected,
> >middle-of-the-road risk assessors from universities, governments, and
> >industry groups.
> >
> >Steve Wing and colleagues have published a reanalysis of TMI health
> >effects data (Wing et al. 1997). Both the new Wing study and the work
> >of B.L. Cohen (Cohen 1995) are in a category of descriptive
> >epidemiology, as opposed to analytical epidemiology.
> >
> >Whether descriptive or analytic, virtually all occupational and
> >environmental epidemiology studies are "observational" as opposed to
> >"experimental" (a.k.a. clinical or interventional) studies. Since human
> >experimentation, outside of closely supervised clinical trials, is out
> >of the question, we are left with observational study designs which,
> >unfortunately, are not the most cogent designs because of uncontrolled
> >factors. Neither the Wing TMI study nor Cohen's study are
> >"experiments," but rather compilations and analyses of whatever data are
> >available.
> >
> >If you are upset by Wing yet celebrate Cohen, I ask that you examine why
> >descriptive studies are compelling in one case and not in the other. To
> >me, the bottom line is that neither have data for individuals, neither
> >has meaningful control for confounders and biases, and no amount of
> >statistical analysis will change that. Both fail to meet many of the
> >criteria presented by leading risk analysts.
> >
> >I am reminded of the brouhaha about Steve Wing and co-workers' earlier
> >study of ORNL workers (Wing et al. 1991), which at least was an analytic
> >cohort study. Lest I be branded as being on one side of the the issue
> >of radiation risks, I note that my reply to Wing (Strom 1991b) included
> >direct criticism of the methods as well as a reminder to consider the
> >Bradford Hill criteria (Hill 1965) for interpreting an association as
> >causal as reiterated by the Expert Panel (Graham et al. 1996).
> >
> >As an illustration of the Bradford Hill criteria, I offer a
> >tongue-in-cheek quote from my colleague Dwight Underhill: "In the
> >winter, I wear galoshes. In the winter, I get colds. Therefore,
> >galoshes cause colds." Association? 22 standard deviations, I'd guess.
> >Causation? Not by criteria I use.
> >
> >I must also confess that I do not form my opinions on the basis of books
> >published by what National Public Radio calls "the Libertarian Cato
> >Institute," which published Steve Milloy's "Junk Science" book. At the
> >associated web site, one finds ecologic studies celebrated if they
> >support deregulation, no effects, or hormesis; and denounced if they
> >support regulation, or harmful effects of some agent or other. Again,
> >these are not criteria I use to judge the weight of epidemiologic
> >evidence.
> >
> >References
> >
> >Cohen, B.L. Test of the Linear-No Threshold Theory of Radiation
> >Carcinogenesis for Inhaled Radon Decay Products. Health Physics
> >68(2):157-174; 1995.
> >
> >Evans, A.S. Causation and Disease: The Henle-Koch Postulates Revisited.
> > Yale Journal of Biology and Medicine 49:175-195; 1976.
> >
> >Graham, J.D.; Koo, L.C.; Paustenbach, D.J.; Wynder, E.L.; Ashby, J.;
> >Carlo, G.; Cohen, S.M.; Evans, J.S.; Holland, W.; Matanoski, G.M.;
> >North, G.W.; Pershagen, G.; Schlesselman, J.J.; Starr, T.B.; Swenberg,
> >J.A.; Teta, M.J.; Wichmann, E.; Williams, G.M.; Kelly Jr., W.J.;
> >Auchter, T.G.; Landeck, S.; Ploger, W.D. Principles for Evaluating
> >Epidemiologic Data in Regulatory Risk Assessment. Washington, DC:
> >Federal Focus, Inc. 1996.
> >
> >Hill, A.B. The Environment and Disease: Association or Causation?
> >Proceedings of the Royal Society of Medicine 58:295-300; 1965.
> >
> >Rothman, K.J. Causes. American Journal of Epidemiology 104(6):587-592;
> >1976.
> >
> >Strom, D.J. The Ecologic Fallacy. Health Physics Society Newsletter
> >19(3):13; 1991a.
> >
> >Strom, D.J. A Critique of "Mortality Among Workers at Oak Ridge
> >National Laboratory". Nuclear News 34:67-74; 1991b.
> >
> >Strom, D.J. Radon Study Shows Little Correlation. Letter. Health
> >Physics 72(3):488-489; 1997.
> >
> >Susser, M.W. What is a cause and how do we know one? A grammar for
> >pragmatic epidemiology. American Journal of Epidemiology 133:635-648;
> >1991.
> >
> >U.S.Preventive Services Task Force. Guide to Clinical Preventive
> >Services. Baltimore: Williams & Wilkins; 1989.
> >
> >Wing, S.; Shy, C.M.; Wood, J.L.; Wolf, S.; Cragle, D.L.; Frome, E.L.
> >Mortality Among Workers at Oak Ridge National Laboratory: Evidence of
> >Radiation Effects in Follow-Up Through 1984. Journal of the American
> >Medical Association 265(11):1397-1402; 1991.
> >
> >Wing, S.; Richardson, D.; Armstrong, D.; Crawford-Brown, D.J. A
> >Reevaluation of Cancer Incidence Near the Three Mile Island Nuclear
> >Plant: The Collision of Evidence and Assumptions. Environmental Health
> >Perspectives 105(1):52-57; 1997.
> >
> >
> >The opinions expressed above are my own, and have not been reviewed or
> >approved by Battelle, the Pacific Northwest National Laboratory, or the
> >U.S. Department of Energy.
> >
> >Daniel J. Strom, Ph.D., CHP
> >Staff Scientist
> >Health Protection Department K3-56
> >Pacific Northwest National Laboratory
> >Battelle Boulevard, P.O. Box 999
> >Richland, WA 99352-0999 USA
> >(509) 375-2626
> >(509) 375-2019 fax
> >dj_strom@pnl.gov
> >
> >
>