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Epidemiology
Volumn 25, Issue 4, 2014, Pages 618-619
Further refinements to the organizational schema for causal effects
Author keywords

[No Author keywords available]
Indexed keywords

EPIDEMIOLOGY; HUMAN; LETTER; ORGANIZATION; POPULATION RISK; PREVALENCE; PRIORITY JOURNAL; RISK;
EID: 84902149016     PISSN: 10443983     EISSN: 15315487     Source Type: Journal    
DOI: 10.1097/EDE.0000000000000114     Document Type: Letter
Times cited : (8)
References (5)
  • 1
    • 84890069904 scopus 로고    scopus 로고
    • An organizational schema for epidemiologic causal effects
    • Gatto NM, Campbell UB, Schwartz S. An organizational schema for epidemiologic causal effects. Epidemiology. 2014;25:88-97.
    • (2014) Epidemiology. , vol.25 , pp. 88-97
    • Gatto, N.M.1    Campbell, U.B.2    Schwartz, S.3
  • 2
    • 85062375539 scopus 로고    scopus 로고
    • Confounding and effect modification: Distribution and measure
    • doi:10.1515/2161-962X.1004
    • VanderWeele TJ. Confounding and effect modification: distribution and measure. Epidemiol Method. 2012;1:55-82. doi:10.1515/2161-962X.1004.
    • (2012) Epidemiol Method. , vol.1 , pp. 55-82
    • Vanderweele, T.J.1
  • 3
    • 0002864224 scopus 로고    scopus 로고
    • Confounding and collapsibility in causal inference
    • Greenland S, Robins JM, Pearl J. Confounding and collapsibility in causal inference. Stat Sci. 1999;14:29-46.
    • (1999) Stat Sci. , vol.14 , pp. 29-46
    • Greenland, S.1    Robins, J.M.2    Pearl, J.3
  • 4
    • 84880898821 scopus 로고    scopus 로고
    • A counterfactual approach to bias and effect modification in terms of response types
    • doi:10.1186/1471-2288-13-101
    • Suzuki E, Mitsuhashi T, Tsuda T, Yamamoto E. A counterfactual approach to bias and effect modification in terms of response types. BMC Med Res Methodol. 2013;13:101. doi:10.1186/1471-2288-13-101.
    • (2013) BMC Med Res Methodol. , vol.13 , pp. 101
    • Suzuki, E.1    Mitsuhashi, T.2    Tsuda, T.3    Yamamoto, E.4
  • 5
    • 84858387302 scopus 로고    scopus 로고
    • On the relations between excess fraction, attributable fraction, and etiologic fraction
    • Suzuki E, Yamamoto E, Tsuda T. On the relations between excess fraction, attributable fraction, and etiologic fraction. Am J Epidemiol. 2012;175:567-575.
    • (2012) Am J Epidemiol. , vol.175 , pp. 567-575
    • Suzuki, E.1    Yamamoto, E.2    Tsuda, T.3

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.