메뉴 건너뛰기
Epidemiology
Volumn 18, Issue 3, 2007, Pages 329-339
The identification of synergism in the sufficient-component-cause framework
Author keywords

[No Author keywords available]
Indexed keywords

ASBESTOS;
EID: 34247236793     PISSN: 10443983     EISSN: None     Source Type: Journal    
DOI: 10.1097/01.ede.0000260218.66432.88     Document Type: Article
Times cited : (159)
References (25)
  • 1
    • 0018497811 scopus 로고
    • Synergism and interaction: Are they equivalent?
    • Blot WJ, Day NE. Synergism and interaction: are they equivalent? Am J Epidemiol. 1979;100:99-100.
    • (1979) Am J Epidemiol , vol.100 , pp. 99-100
    • Blot, W.J.1    Day, N.E.2
  • 3
    • 0018933395 scopus 로고
    • Interaction and synergism
    • Saracci R. Interaction and synergism. Am J Epidemiol. 1980;112:465-466.
    • (1980) Am J Epidemiol , vol.112 , pp. 465-466
    • Saracci, R.1
  • 4
    • 0019920462 scopus 로고
    • Causal and preventive interdependence: Elementary principles
    • Miettinen OS. Causal and preventive interdependence: elementary principles. Scand J Work Environ Health 1982;8:159-168.
    • (1982) Scand J Work Environ Health , vol.8 , pp. 159-168
    • Miettinen, O.S.1
  • 6
    • 0023882628 scopus 로고
    • Invariants and noninvariants in the concept of interdependent effects
    • Greenland S, Poole C. Invariants and noninvariants in the concept of interdependent effects. Scand J Work Environ Health 1988;14:125-129.
    • (1988) Scand J Work Environ Health , vol.14 , pp. 125-129
    • Greenland, S.1    Poole, C.2
  • 8
    • 0023917179 scopus 로고
    • Confidence intervals for causal parameters
    • Robins JM. Confidence intervals for causal parameters. Stat Med. 1988;7:773-785.
    • (1988) Stat Med , vol.7 , pp. 773-785
    • Robins, J.M.1
  • 9
    • 0019445414 scopus 로고
    • Interaction between discrete causes
    • Koopman JS. Interaction between discrete causes. Am J Epidemiol. 1981;113:716-724.
    • (1981) Am J Epidemiol , vol.113 , pp. 716-724
    • Koopman, J.S.1
  • 11
    • 0030975463 scopus 로고    scopus 로고
    • Biologic synergism and parallelism
    • Darroch J. Biologic synergism and parallelism. Am J Epidemiol. 1997;145:661-668.
    • (1997) Am J Epidemiol , vol.145 , pp. 661-668
    • Darroch, J.1
  • 12
    • 33846689750 scopus 로고    scopus 로고
    • A theory of sufficient cause interactions
    • Article, Available at
    • VanderWeele TJ, Robins JM. A theory of sufficient cause interactions. COBRA Preprint Series, 2006, Article 13. Available at: http://biostats.bepress. com/cobra/ps/art13.
    • (2006) COBRA Preprint Series , pp. 13
    • VanderWeele, T.J.1    Robins, J.M.2
  • 13
    • 0036816793 scopus 로고    scopus 로고
    • An overview of relations among causal modelling methods
    • Greenland S, Brumback B. An overview of relations among causal modelling methods. Int J Epidemiol. 2002;31:1030-1037.
    • (2002) Int J Epidemiol , vol.31 , pp. 1030-1037
    • Greenland, S.1    Brumback, B.2
  • 14
    • 0000990212 scopus 로고
    • Causes and conditions
    • Mackie JL. Causes and conditions. Am Philos Q. 1965;2:245-255.
    • (1965) Am Philos Q , vol.2 , pp. 245-255
    • Mackie, J.L.1
  • 15
    • 0022656570 scopus 로고
    • Applicability of the simple independent action model to epidemiologic studies involving two factors and a dichotomous outcome
    • Weinberg CR. Applicability of the simple independent action model to epidemiologic studies involving two factors and a dichotomous outcome. Am J Epidemiol. 1986;123:162-173.
    • (1986) Am J Epidemiol , vol.123 , pp. 162-173
    • Weinberg, C.R.1
  • 16
    • 0344717280 scopus 로고
    • Are dose-response, synergy, and latency confounded?
    • Alexandria, VA: American Statistical Association;
    • Thomas DC. Are dose-response, synergy, and latency confounded? In: Abstracts of the Joint Statistical Meetings. Alexandria, VA: American Statistical Association; 1981.
    • (1981) Abstracts of the Joint Statistical Meetings
    • Thomas, D.C.1
  • 17
    • 0027858814 scopus 로고
    • Basic problems in interaction assessment
    • Greenland S. Basic problems in interaction assessment. Enivon Health Perspect. 1993;101(Suppl 4):59-66.
    • (1993) Enivon Health Perspect , vol.101 , Issue.SUPPL. 4 , pp. 59-66
    • Greenland, S.1
  • 18
    • 0020963636 scopus 로고
    • Tests for interaction in epidemiologic studies: A review and study of power
    • Greenland S. Tests for interaction in epidemiologic studies: a review and study of power. Stat Med. 1983;2:243-251.
    • (1983) Stat Med , vol.2 , pp. 243-251
    • Greenland, S.1
  • 19
    • 0022629577 scopus 로고
    • Binomial regression in GLIM: Estimating risk ratios and risk differences
    • Wacholder S. Binomial regression in GLIM: estimating risk ratios and risk differences. Am J Epidemiol. 1986;123:174-184.
    • (1986) Am J Epidemiol , vol.123 , pp. 174-184
    • Wacholder, S.1
  • 20
    • 0025860772 scopus 로고
    • Estimating standardized parameters from generalized linear models
    • Greenland S. Estimating standardized parameters from generalized linear models. Stat Med. 1991;10:1069-1074.
    • (1991) Stat Med , vol.10 , pp. 1069-1074
    • Greenland, S.1
  • 21
    • 1642420994 scopus 로고    scopus 로고
    • A modified Poisson regression approach to prospective studies with binary data
    • Zou G. A modified Poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159:702-706.
    • (2004) Am J Epidemiol , vol.159 , pp. 702-706
    • Zou, G.1
  • 22
    • 3843072366 scopus 로고    scopus 로고
    • Model-based estimation of relative risks and other epidemiologic measures in studies of common outcomes and in case-control studies
    • Greenland S. Model-based estimation of relative risks and other epidemiologic measures in studies of common outcomes and in case-control studies. Am J Epidemiol. 2004;160:301-305.
    • (2004) Am J Epidemiol , vol.160 , pp. 301-305
    • Greenland, S.1
  • 23
    • 24144458327 scopus 로고    scopus 로고
    • Easy SAS calculations for risk or prevalence ratios and differences
    • Spiegelman D, Hertzmark E. Easy SAS calculations for risk or prevalence ratios and differences. Am J Epidemiol. 2005;162:199-200.
    • (2005) Am J Epidemiol , vol.162 , pp. 199-200
    • Spiegelman, D.1    Hertzmark, E.2
  • 24
    • 0001683051 scopus 로고
    • Fitting prospective regression models to case-control data
    • Wild CJ. Fitting prospective regression models to case-control data. Biometrika. 1991;78:705-717.
    • (1991) Biometrika , vol.78 , pp. 705-717
    • Wild, C.J.1
  • 25
    • 0030038950 scopus 로고    scopus 로고
    • The case-control study as data missing by design: Estimating risk differences
    • Wacholder S. The case-control study as data missing by design: estimating risk differences. Epidemiology. 1996;7:145-150.
    • (1996) Epidemiology , vol.7 , pp. 145-150
    • Wacholder, S.1

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.