Literature DB >> 2772444

Estimability and estimation of excess and etiologic fractions.

J M Robins1, S Greenland.   

Abstract

This paper describes conditions under which epidemiologic data can provide estimates of the excess fraction (proportionate increase in caseload due to an exposure) and the etiologic fraction (fraction of cases caused by exposure). The excess fraction can be estimated under essentially the same conditions often cited for general study validity. In contrast, estimation of the etiologic fraction will usually require very specific non-identifiable assumptions about exposure action and interactions, although one can derive simple lower and upper bounds for the fraction from survival comparisons. Since the etiologic fraction is equivalent to the probability of causation, our results have implications for injury compensation in lawsuits involving the probability of causation.

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Year:  1989        PMID: 2772444     DOI: 10.1002/sim.4780080709

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  27 in total

1.  Relation of probability of causation to relative risk and doubling dose: a methodologic error that has become a social problem.

Authors:  S Greenland
Journal:  Am J Public Health       Date:  1999-08       Impact factor: 9.308

2.  Principal stratification and attribution prohibition: good ideas taken too far.

Authors:  Marshall Joffe
Journal:  Int J Biostat       Date:  2011-09-14       Impact factor: 0.968

3.  Attributable fractions for sufficient cause interactions.

Authors:  Tyler J VanderWeele
Journal:  Int J Biostat       Date:  2010-02-22       Impact factor: 0.968

Review 4.  An introduction to causal inference.

Authors:  Judea Pearl
Journal:  Int J Biostat       Date:  2010-02-26       Impact factor: 0.968

5.  On Causal Inferences for Personalized Medicine: How Hidden Causal Assumptions Led to Erroneous Causal Claims About the D-Value.

Authors:  Sander Greenland; Michael P Fay; Erica H Brittain; Joanna H Shih; Dean A Follmann; Erin E Gabriel; James M Robins
Journal:  Am Stat       Date:  2019-05-20       Impact factor: 8.710

Review 6.  Principal stratification--a goal or a tool?

Authors:  Judea Pearl
Journal:  Int J Biostat       Date:  2011-03-30       Impact factor: 0.968

Review 7.  Identification of operating mediation and mechanism in the sufficient-component cause framework.

Authors:  Etsuji Suzuki; Eiji Yamamoto; Toshihide Tsuda
Journal:  Eur J Epidemiol       Date:  2011-03-30       Impact factor: 8.082

8.  Exposure-lag-response associations between lung cancer mortality and radon exposure in German uranium miners.

Authors:  Matthias Aßenmacher; Jan Christian Kaiser; Ignacio Zaballa; Antonio Gasparrini; Helmut Küchenhoff
Journal:  Radiat Environ Biophys       Date:  2019-06-19       Impact factor: 1.925

9.  Extending the sufficient component cause model to describe the Stable Unit Treatment Value Assumption (SUTVA).

Authors:  Sharon Schwartz; Nicolle M Gatto; Ulka B Campbell
Journal:  Epidemiol Perspect Innov       Date:  2012-04-03

10.  Interactive RadioEpidemiological Program (IREP): a web-based tool for estimating probability of causation/assigned share of radiogenic cancers.

Authors:  David C Kocher; A Iulian Apostoaei; Russell W Henshaw; F Owen Hoffman; Mary K Schubauer-Berigan; Daniel O Stancescu; Brian A Thomas; John R Trabalka; Ethel S Gilbert; Charles E Land
Journal:  Health Phys       Date:  2008-07       Impact factor: 1.316

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