Literature DB >> 8722223

The practice of causal inference in cancer epidemiology.

D L Weed1, L S Gorelic.   

Abstract

Causal inference is an important link between the practice of cancer epidemiology and effective cancer prevention. Although many papers and epidemiology textbooks have vigorously debated theoretical issues in causal inference, almost no attention has been paid to the issue of how causal inference is practiced. In this paper, we review two series of review papers published between 1985 and 1994 to find answers to the following questions: which studies and prior review papers were cited, which causal criteria were used, and what causal conclusions and public health recommendations ensued. Fourteen published reviews on alcohol and breast cancer and 6 published reviews on vasectomy and prostate cancer were examined. For both series of reviews, nearly all available published studies were cited except for ecological studies and prior reviews. Sources of causal criteria were often not provided. When they appeared, all citations were either the 1964 Surgeon General's report or works of Austin Bradford Hill. Reviews often excluded and sometimes altered criteria without giving reasons for these changes. The criteria of consistency and strength of association were almost always used accompanied by dose-response and biological plausibility in a majority of reviews. The criterion of temporality, considered by many methodologists to be a necessary causal condition, was infrequently used. Confounding and bias were often added considerations. Public health recommendations were not discussed in nearly one-half of the reviews.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 8722223

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  19 in total

Review 1.  Methods in epidemiology and public health: does practice match theory?

Authors:  D L Weed
Journal:  J Epidemiol Community Health       Date:  2001-02       Impact factor: 3.710

Review 2.  Frequency of policy recommendations in epidemiologic publications.

Authors:  L W Jackson; N L Lee; J M Samet
Journal:  Am J Public Health       Date:  1999-08       Impact factor: 9.308

3.  Detecting causal nonlinear exposure-response relations in epidemiological data.

Authors:  Louis Anthony Cox
Journal:  Dose Response       Date:  2006-08-19       Impact factor: 2.658

4.  Hume, Mill, Hill, and the sui generis epidemiologic approach to causal inference.

Authors:  Alfredo Morabia
Journal:  Am J Epidemiol       Date:  2013-09-26       Impact factor: 4.897

5.  Regulatory-Science: Biphasic Cancer Models or the LNT-Not Just a Matter of Biology!

Authors:  Paolo F Ricci; Ian R Sammis
Journal:  Dose Response       Date:  2011-12-02       Impact factor: 2.658

6.  Quality of reviews in epidemiology.

Authors:  R A Breslow; S A Ross; D L Weed
Journal:  Am J Public Health       Date:  1998-03       Impact factor: 9.308

7.  Application of the bradford hill criteria to assess the causality of cisapride-induced arrhythmia: a model for assessing causal association in pharmacovigilance.

Authors:  Michael Perrio; Simon Voss; Saad A W Shakir
Journal:  Drug Saf       Date:  2007       Impact factor: 5.606

Review 8.  A weight-of-evidence review of colorectal cancer in pesticide applicators: the agricultural health study and other epidemiologic studies.

Authors:  Dominik D Alexander; Douglas L Weed; Pamela J Mink; Meghan E Mitchell
Journal:  Int Arch Occup Environ Health       Date:  2011-12-10       Impact factor: 3.015

9.  Uncertain Futures: Individual Risk and Social Context in Decision-Making in Cancer Screening.

Authors:  Simon J Craddock Lee
Journal:  Health Risk Soc       Date:  2010-04

Review 10.  Epidemiological evidence for Mycobacterium avium subspecies paratuberculosis as a cause of Crohn's disease.

Authors:  J C Uzoigwe; M L Khaitsa; P S Gibbs
Journal:  Epidemiol Infect       Date:  2007-04-20       Impact factor: 2.451

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.