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Volumn 11, Issue 4, 2011, Pages 479-517

Gformula: Estimating causal effects in the presence of time-varying confounding or mediation using the g-computation formula

Author keywords

Causal inference; Direct and indirect effects; G computation formula; Gformula; Mediation; st0238; Time varying confounding

Indexed keywords


EID: 84855817938     PISSN: 1536867X     EISSN: None     Source Type: Journal    
DOI: 10.1177/1536867x1201100401     Document Type: Article
Times cited : (133)

References (45)
  • 1
    • 84855802852 scopus 로고    scopus 로고
    • Discussion Paper No 804, Institute for the Study of Labor (IZA)
    • Abbring, J H 2003 Dynamic econometric program evaluation Discussion Paper No 804, Institute for the Study of Labor (IZA) http://ftp.iza.org/dp804.pdf.
    • (2003) Dynamic Econometric Program Evaluation
    • Abbring, J.H.1
  • 6
    • 84855765537 scopus 로고    scopus 로고
    • Forthcoming Time-varying confounding: Some practical considerations in a likelihood framework
    • ed C Berzuini, A P Dawid, and L Bernardinelli Wiley
    • Daniel, R M., B L De Stavola, and S N Cousens Forthcoming Time-varying confounding: Some practical considerations in a likelihood framework In Causality: Statistical Perspectives and Applications, ed C Berzuini, A P Dawid, and L Bernardinelli Wiley.
    • Causality: Statistical Perspectives and Applications
    • Daniel, R.M.1    de Stavola, B.L.2    Cousens, S.N.3
  • 9
    • 0035528171 scopus 로고    scopus 로고
    • Causal inference for complex longitudinal data: The continuous case
    • Gill, R D., and J M Robins 2001 Causal inference for complex longitudinal data: The continuous case Annals of Statistics 29: 1785-1811.
    • (2001) Annals of Statistics , vol.29 , pp. 1785-1811
    • Gill, R.D.1    Robins, J.M.2
  • 10
    • 0032924944 scopus 로고    scopus 로고
    • Causal diagrams for epidemiological research
    • Greenland, S., J Pearl, and J M Robins 1999 Causal diagrams for epidemiological research Epidemiology 10: 37-48.
    • (1999) Epidemiology , vol.10 , pp. 37-48
    • Greenland, S.1    Pearl, J.2    Robins, J.M.3
  • 11
    • 70849134693 scopus 로고    scopus 로고
    • Proportion explained: A causal interpretation for standard measures of indirect effect?
    • Hafeman, D M 2009 Proportion explained: A causal interpretation for standard measures of indirect effect? American Journal of Epidemiology 170: 1443-1448.
    • (2009) American Journal of Epidemiology , vol.170 , pp. 1443-1448
    • Hafeman, D.M.1
  • 12
    • 79959768753 scopus 로고    scopus 로고
    • Alternative assumptions for the identification of direct and indirect effects
    • Hafeman, D M., and T J VanderWeele 2011 Alternative assumptions for the identification of direct and indirect effects Epidemiology 22: 753-764.
    • (2011) Epidemiology , vol.22 , pp. 753-764
    • Hafeman, D.M.1    Vanderweele, T.J.2
  • 14
    • 40249086760 scopus 로고    scopus 로고
    • Population intervention models in causal inference
    • Hubbard, A E., and M J van der Laan 2008 Population intervention models in causal inference Biometrika 95: 35-47.
    • (2008) Biometrika , vol.95 , pp. 35-47
    • Hubbard, A.E.1    van der, L.M.J.2
  • 15
    • 0002690966 scopus 로고    scopus 로고
    • Identification and estimation of causal effects of multiple treatments under the conditional independence assumption
    • ed M Lechner and F Pfeiffer, Heidelberg: Physica-Verlag
    • Lechner, M 2001 Identification and estimation of causal effects of multiple treatments under the conditional independence assumption In Econometric Evaluation of Labour Market Policies, ed M Lechner and F Pfeiffer, 43-58 Heidelberg: Physica-Verlag.
    • (2001) Econometric Evaluation of Labour Market Policies , pp. 43-58
    • Lechner, M.1
  • 19
    • 84855799732 scopus 로고    scopus 로고
    • Identification of dynamic treatments effects by instrumental variables Discussion Paper No 2002-11, University of St
    • Miquel, R 2002 Identification of dynamic treatments effects by instrumental variables Discussion Paper No 2002-11, University of St Gallen.
    • (2002) Gallen
    • Miquel, R.1
  • 26
    • 46149139403 scopus 로고
    • A new approach to causal inference in mortality studies with a sustained exposure period-application to control of the healthy worker survivor effect
    • Robins, J M 1986 A new approach to causal inference in mortality studies with a sustained exposure period-application to control of the healthy worker survivor effect Mathematical Modelling 7: 1393-1512.
    • (1986) Mathematical Modelling , vol.7 , pp. 1393-1512
    • Robins, J.M.1
  • 27
    • 0023592958 scopus 로고
    • Addendum to A new approach to causal inference in mortality studies with a sustained exposure period-application to control of the healthy worker survivor effect
    • Robins, J M 1987a Addendum to A new approach to causal inference in mortality studies with a sustained exposure period-application to control of the healthy worker survivor effect Computers and Mathematics with Applications 14: 923-945.
    • (1987) Computers and Mathematics With Applications , vol.14 , pp. 923-945
    • Robins, J.M.1
  • 28
    • 2642628683 scopus 로고
    • Errata to A new approach to causal inference in mortality studies with a sustained exposure period-application to control of the healthy worker survivor effect
    • Robins, J M 1987b Errata to A new approach to causal inference in mortality studies with a sustained exposure period-application to control of the healthy worker survivor effect Computers and Mathematics with Applications 14: 917-921.
    • (1987) Computers and Mathematics With Applications , vol.14 , pp. 917-921
    • Robins, J.M.1
  • 29
    • 0002596470 scopus 로고
    • The analysis of randomized and non-randomized AIDS treatment trials using a new approach to causal inference in longitudinal studies
    • ed L Sechrest, H Freeman, and A Mulley Washington, DC: U.S Public Health Service
    • Robins, J M 1989a The analysis of randomized and non-randomized AIDS treatment trials using a new approach to causal inference in longitudinal studies In Health Services Research Methodology: A Focus on AIDS, ed L Sechrest, H Freeman, and A Mulley Washington, DC: U.S Public Health Service.
    • (1989) Health Services Research Methodology: A Focus On AIDS
    • Robins, J.M.1
  • 30
    • 85087223523 scopus 로고
    • Errata to Addendum to 'A new approach to causal inference in mortality studies with a sustained exposure period-application to control of the healthy worker survivor effect'
    • Robins, J M 1989b Errata to Addendum to 'A new approach to causal inference in mortality studies with a sustained exposure period-application to control of the healthy worker survivor effect' Computers and Mathematics with Applications 18: 477.
    • (1989) Computers and Mathematics With Applications , vol.18 , pp. 477
    • Robins, J.M.1
  • 31
    • 0001815275 scopus 로고    scopus 로고
    • Causal inference from complex longitudinal data
    • In , ed M Berkane, New York: Springer
    • Robins, J M 1997 Causal inference from complex longitudinal data In Latent Variable Modeling and Applications to Causality, ed M Berkane, 69-117 New York: Springer.
    • (1997) Latent Variable Modeling and Applications to Causality , pp. 69-117
    • Robins, J.M.1
  • 32
    • 0001415308 scopus 로고    scopus 로고
    • Association, causation, and marginal structural models
    • Robins, J M 1999 Association, causation, and marginal structural models Synthese 121: 151-179.
    • (1999) Synthese , vol.121 , pp. 151-179
    • Robins, J.M.1
  • 33
    • 15544371335 scopus 로고    scopus 로고
    • Semantics of causal DAG models and the identification of direct and indirect effects
    • ed P Green, N L Hjort, and S Richardson, New York: Oxford University Press
    • Robins, J 2003 Semantics of causal DAG models and the identification of direct and indirect effects In Highly Structured Stochastic Systems, ed P Green, N L Hjort, and S Richardson, 70-81 New York: Oxford University Press.
    • (2003) Highly Structured Stochastic Systems , pp. 70-81
    • Robins, J.1
  • 34
    • 0026643893 scopus 로고
    • G-estimation of the effect of prophylaxis therapy for Pneumocystis carinii pneumonia on the survival of AIDS patients
    • Robins, J M., D Blevins, G Ritter, and M Wulfsohn 1992 G-estimation of the effect of prophylaxis therapy for Pneumocystis carinii pneumonia on the survival of AIDS patients Epidemiology 3: 319-336.
    • (1992) Epidemiology , vol.3 , pp. 319-336
    • Robins, J.M.1    Blevins, D.2    Ritter, G.3    Wulfsohn, M.4
  • 35
    • 0031014353 scopus 로고    scopus 로고
    • Non-response models for the analysis of nonmonotone ignorable missing data
    • Robins, J M., and R D Gill 1997 Non-response models for the analysis of nonmonotone ignorable missing data Statistics in Medicine 16: 39-56.
    • (1997) Statistics In Medicine , vol.16 , pp. 39-56
    • Robins, J.M.1    Gill, R.D.2
  • 36
    • 0026556155 scopus 로고
    • Identifiability and exchangeability for direct and indirect effects
    • Robins, J M., and S Greenland 1992 Identifiability and exchangeability for direct and indirect effects Epidemiology 3: 143-155.
    • (1992) Epidemiology , vol.3 , pp. 143-155
    • Robins, J.M.1    Greenland, S.2
  • 37
    • 1542637615 scopus 로고    scopus 로고
    • Estimation of the causal effect of a time-varying exposure on the marginal mean of a repeated binary outcome
    • Robins, J M., S Greenland, and F.-C Hu 1999 Estimation of the causal effect of a time-varying exposure on the marginal mean of a repeated binary outcome Journal of the American Statistical Association 94: 687-700.
    • (1999) Journal of the American Statistical Association , vol.94 , pp. 687-700
    • Robins, J.M.1    Greenland, S.2    Hu, F.-C.3
  • 38
    • 85056259802 scopus 로고    scopus 로고
    • Estimation of the causal effects of timevarying exposures
    • ed G Fitzmaurice, M Davidian, G Verbeke, and G Molenberghs, Boca Raton, FL: Chapman & Hall/CRC
    • Robins, J M., and M A Hernán 2009 Estimation of the causal effects of timevarying exposures In Longitudinal Data Analysis, ed G Fitzmaurice, M Davidian, G Verbeke, and G Molenberghs, 553-599 Boca Raton, FL: Chapman & Hall/CRC.
    • (2009) Longitudinal Data Analysis , pp. 553-599
    • Robins, J.M.1    Hernán, M.A.2
  • 39
    • 0033847784 scopus 로고    scopus 로고
    • Marginal structural models and causal inference in epidemiology
    • Robins, J M., M A Hernán, and B Brumback 2000 Marginal structural models and causal inference in epidemiology Epidemiology 11: 550-560.
    • (2000) Epidemiology , vol.11 , pp. 550-560
    • Robins, J.M.1    Hernán, M.A.2    Brumback, B.3
  • 42
    • 40949090705 scopus 로고    scopus 로고
    • G-estimation of causal effects, allowing for time-varying confounding
    • Sterne, J A C., and K Tilling 2002 G-estimation of causal effects, allowing for time-varying confounding Stata Journal 2: 164-182.
    • (2002) Stata Journal , vol.2 , pp. 164-182
    • Sterne, J.A.C.1    Tilling, K.2
  • 43
  • 45
    • 0033616909 scopus 로고    scopus 로고
    • Multiple imputation of missing blood pressure covariates in survival analysis
    • van Buuren, S., H C Boshuizen, and D L Knook 1999 Multiple imputation of missing blood pressure covariates in survival analysis Statistics in Medicine 18: 681-694.
    • (1999) Statistics In Medicine , vol.18 , pp. 681-694
    • van Buuren, S.1    Boshuizen, H.C.2    Knook, D.L.3


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