Literature DB >> 19219642

Epidemiology and causation.

Leen De Vreese1.   

Abstract

Epidemiologists' discussions on causation are not always very enlightening with regard to the notion of 'cause' in epidemiology. Epidemiologists rightly work from a science-based approach to causation in epidemiology, but largely disagree about the matter. Disagreement may be partly due to confusion of the question of useful concepts for causal inference in epidemiological practice with the question of the metaphysical presuppositions of causal concepts used in epidemiology. In other words, epidemiologists seem to confuse the practical results of epidemiological research at the population level with the metaphysical views about the reality of disease causation at the individual level in their writings on causation.

Mesh:

Year:  2009        PMID: 19219642     DOI: 10.1007/s11019-009-9184-0

Source DB:  PubMed          Journal:  Med Health Care Philos        ISSN: 1386-7423


  19 in total

Review 1.  When can a risk factor be used as a worthwhile screening test?

Authors:  N J Wald; A K Hackshaw; C D Frost
Journal:  BMJ       Date:  1999-12-11

Review 2.  Making the case for psychophysiology during the era of molecular biology.

Authors:  N B Anderson; P A Scott
Journal:  Psychophysiology       Date:  1999-01       Impact factor: 4.016

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

Authors:  Sander Greenland; Manuela Gago-Dominguez; Jose Esteban Castelao
Journal:  Epidemiology       Date:  2004-09       Impact factor: 4.822

4.  Theorizing about causes at the individual level while estimating effects at the population level: implications for prevention.

Authors:  Beverly Rockhill
Journal:  Epidemiology       Date:  2005-01       Impact factor: 4.822

5.  Causation and causal inference in epidemiology.

Authors:  Kenneth J Rothman; Sander Greenland
Journal:  Am J Public Health       Date:  2005       Impact factor: 9.308

Review 6.  Effects of psychological and social factors on organic disease: a critical assessment of research on coronary heart disease.

Authors:  David S Krantz; Melissa K McCeney
Journal:  Annu Rev Psychol       Date:  2002       Impact factor: 24.137

7.  In defense of black box epidemiology.

Authors:  D A Savitz
Journal:  Epidemiology       Date:  1994-09       Impact factor: 4.822

8.  Use and misuse of population attributable fractions.

Authors:  B Rockhill; B Newman; C Weinberg
Journal:  Am J Public Health       Date:  1998-01       Impact factor: 9.308

9.  The emptiness of the black box.

Authors:  P Skrabanek
Journal:  Epidemiology       Date:  1994-09       Impact factor: 4.822

10.  Strategy of prevention: lessons from cardiovascular disease.

Authors:  G Rose
Journal:  Br Med J (Clin Res Ed)       Date:  1981-06-06
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  1 in total

1.  The role of causal criteria in causal inferences: Bradford Hill's "aspects of association".

Authors:  Andrew C Ward
Journal:  Epidemiol Perspect Innov       Date:  2009-06-17
  1 in total

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