Literature DB >> 15308951

The value of risk-factor ("black-box") epidemiology.

Sander Greenland1, Manuela Gago-Dominguez, Jose Esteban Castelao.   

Abstract

Risk-factor epidemiology has been denigrated by some as an empty search for associations, unguided by underlying theory. It has been defended for occasionally identifying useful (if poorly understood) potential interventions. We further defend risk-factor epidemiology as a valuable source of seemingly unrelated facts that await coherent explanation by novel theories and that provide empiric tests of theories. We illustrate these points with a theory that invokes lipid peroxidation as an explanation of an apparently incoherent accumulation of facts about renal-cell carcinoma. The example illustrates the value of viewing epidemiologic, laboratory, and clinical observations as a body of facts demanding explanation by proposed causal theories, whether or not those observations were collected with any hypothesis in mind.

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Year:  2004        PMID: 15308951     DOI: 10.1097/01.ede.0000134867.12896.23

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  22 in total

Review 1.  A life-course approach to measuring socioeconomic position in population health surveillance systems.

Authors:  C R Chittleborough; F E Baum; A W Taylor; J E Hiller
Journal:  J Epidemiol Community Health       Date:  2006-11       Impact factor: 3.710

2.  Point-counterpoint. The triumph of the null hypothesis: epidemiology in an age of change.

Authors:  Wasim Maziak
Journal:  Int J Epidemiol       Date:  2008-12-17       Impact factor: 7.196

3.  Epidemiology and causation.

Authors:  Leen De Vreese
Journal:  Med Health Care Philos       Date:  2009-02-15

4.  Confounding, causality, and confusion: the role of intermediate variables in interpreting observational studies in obstetrics.

Authors:  Cande V Ananth; Enrique F Schisterman
Journal:  Am J Obstet Gynecol       Date:  2017-04-17       Impact factor: 8.661

5.  The Epidemiologic Toolbox: Identifying, Honing, and Using the Right Tools for the Job.

Authors:  Catherine R Lesko; Alexander P Keil; Jessie K Edwards
Journal:  Am J Epidemiol       Date:  2020-06-01       Impact factor: 4.897

Review 6.  What matters most: quantifying an epidemiology of consequence.

Authors:  Katherine Keyes; Sandro Galea
Journal:  Ann Epidemiol       Date:  2015-02-07       Impact factor: 3.797

Review 7.  Towards 'reflexive epidemiology': Conflation of cisgender male and transgender women sex workers and implications for global understandings of HIV prevalence.

Authors:  Amaya G Perez-Brumer; Catherine E Oldenburg; Sari L Reisner; Jesse L Clark; Richard G Parker
Journal:  Glob Public Health       Date:  2016-05-12

8.  Dietary fat and risk of renal cell carcinoma in the USA: a case-control study.

Authors:  Kaye E Brock; Gloria Gridley; Brian C-H Chiu; Abby G Ershow; Charles F Lynch; Kenneth P Cantor
Journal:  Br J Nutr       Date:  2008-09-12       Impact factor: 3.718

9.  Lost in translation: epidemiology, risk, and Alzheimer disease.

Authors:  Mary Ganguli; Walter A Kukull
Journal:  Arch Neurol       Date:  2010-01

Review 10.  Dental caries risk studies revisited: causal approaches needed for future inquiries.

Authors:  Jolanta Aleksejūniene; Dorthe Holst; Vilma Brukiene
Journal:  Int J Environ Res Public Health       Date:  2009-11-30       Impact factor: 3.390

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