메뉴 건너뛰기




Volumn 25, Issue 2, 2014, Pages 292-299

Constructing inverse probability weights for continuous exposures: A comparison of methods

Author keywords

[No Author keywords available]

Indexed keywords

BIRTH CERTIFICATES; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; EPIDEMIOLOGIC RESEARCH DESIGN; FEMALE; HUMANS; INFANT, NEWBORN; MODELS, STATISTICAL; MONTE CARLO METHOD; ODDS RATIO; POISSON DISTRIBUTION; PREGNANCY; PROBABILITY; QUEBEC;

EID: 84894174160     PISSN: 10443983     EISSN: 15315487     Source Type: Journal    
DOI: 10.1097/EDE.0000000000000053     Document Type: Article
Times cited : (120)

References (38)
  • 1
    • 1542472967 scopus 로고    scopus 로고
    • Marginal structural models as a tool for standardization
    • Sato T, Matsuyama Y. Marginal structural models as a tool for standardization. Epidemiology. 2003;14:680-686
    • (2003) Epidemiology , vol.14 , pp. 680-686
    • Sato, T.1    Matsuyama, Y.2
  • 2
    • 0002317236 scopus 로고    scopus 로고
    • Structural nested failure time models
    • In: Andersen P, Keiding N, eds. Chichester: John Wiley and Sons
    • R obins JM. Structural nested failure time models. In: Andersen P, Keiding N, eds. The Encyclopedia of Biostatistics. Chichester: John Wiley and Sons; 1998;4372-4389
    • (1998) The Encyclopedia of Biostatistics , pp. 4372-4389
    • Robins, J.M.1
  • 4
    • 63749123546 scopus 로고    scopus 로고
    • Marginal structural models for estimating effect modification
    • C hiba Y, Azuma K, Okumura J. Marginal structural models for estimating effect modification. Ann Epidemiol. 2009;19:298-303
    • (2009) Ann Epidemiol , vol.19 , pp. 298-303
    • Chiba, Y.1    Azuma, K.2    Okumura, J.3
  • 5
    • 76649101057 scopus 로고    scopus 로고
    • Marginal structural models for sufficient cause interactions
    • Vander Weele TJ, Vansteelandt S, Robins JM. Marginal structural models for sufficient cause interactions. Am J Epidemiol. 2010;171:506-514
    • (2010) Am J Epidemiol , vol.171 , pp. 506-514
    • Vander Weele, T.J.1    Vansteelandt, S.2    Robins, J.M.3
  • 7
    • 67349216949 scopus 로고    scopus 로고
    • Marginal structural models for direct and indirect effects (erratum in epidemiology 2009 20(4 629)
    • Vander Weele TJ. Marginal structural models for direct and indirect effects (erratum in Epidemiology 2009; 20(4):629). Epidemiol. 2009;20:18-26
    • (2009) Epidemiol , vol.20 , pp. 18-26
    • Vander Weele, T.J.1
  • 8
    • 0033839024 scopus 로고    scopus 로고
    • Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men
    • Hernán MA, Brumback B, Robins JM. Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiol. 2000;11:561-570
    • (2000) Epidemiol , vol.11 , pp. 561-570
    • Hernán, M.A.1    Brumback, B.2    Robins, J.M.3
  • 9
    • 0033847784 scopus 로고    scopus 로고
    • Marginal structural models and causal inference in epidemiology
    • R obins JM, Hernán MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000;11:550-560
    • (2000) Epidemiology , vol.11 , pp. 550-560
    • Robins, J.M.1    Hernán, M.A.2    Brumback, B.3
  • 10
    • 51749124303 scopus 로고    scopus 로고
    • Constructing inverse probability weights for marginal structural models
    • C ole SR, Hernán MA. Constructing inverse probability weights for marginal structural models. Am J Epidemiol. 2008;168:656-664
    • (2008) Am J Epidemiol , vol.168 , pp. 656-664
    • Cole, S.R.1    Hernán, M.A.2
  • 11
    • 0003135327 scopus 로고    scopus 로고
    • Marginal structural models versus structural nested models as tools for causal inference
    • In: Halloran M, Berry D, eds. New York, NY: Springer-Verlag
    • R obins JM. Marginal structural models versus structural nested models as tools for causal inference. In: Halloran M, Berry D, eds. Statistical Models in Epidemiology: The Environment and Clinical Trials. Vol. 16. New York, NY: Springer-Verlag; 1999;95-134
    • (1999) Statistical Models in Epidemiology: The Environment and Clinical Trials , vol.16 , pp. 95-134
    • Robins, J.M.1
  • 12
    • 33745842238 scopus 로고    scopus 로고
    • Estimating causal effects from epidemiological data
    • Hernán MA, Robins JM. Estimating causal effects from epidemiological data. J Epidemiol Community Health. 2006;60:578-586
    • (2006) J Epidemiol Community Health , vol.60 , pp. 578-586
    • Hernán, M.A.1    Robins, J.M.2
  • 13
    • 77953959162 scopus 로고    scopus 로고
    • The relationship between neighborhood poverty and alcohol use: Estimation by marginal structural models
    • C erdá M, Diez-Roux AV, Tchetgen ET, Gordon-Larsen P, Kiefe C. The relationship between neighborhood poverty and alcohol use: Estimation by marginal structural models. Epidemiology. 2010;21:482-489
    • (2010) Epidemiology , vol.21 , pp. 482-489
    • Cerdá, M.1    Diez-Roux, A.V.2    Tchetgen, E.T.3    Gordon-Larsen, P.4    Kiefe, C.5
  • 15
    • 84870832681 scopus 로고    scopus 로고
    • Extreme maternal education and preterm birth: Time-To-event analysis of age and nativity-dependent risks
    • A uger N, Abrahamowicz M, Park AL, Wynant W. Extreme maternal education and preterm birth: Time-To-event analysis of age and nativity-dependent risks. Ann Epidemiol. 2013;23:1-6
    • (2013) Ann Epidemiol , vol.23 , pp. 1-6
    • Auger, N.1    Abrahamowicz, M.2    Park, A.L.3    Wynant, W.4
  • 16
    • 34547659742 scopus 로고    scopus 로고
    • Relative risks and confidence intervals were easily computed indirectly from multivariable logistic regression
    • L ocalio AR, Margolis DJ, Berlin JA. Relative risks and confidence intervals were easily computed indirectly from multivariable logistic regression. J Clin Epidemiol. 2007;60:874-882
    • (2007) J Clin Epidemiol , vol.60 , pp. 874-882
    • Localio, A.R.1    Margolis, D.J.2    Berlin, J.A.3
  • 17
    • 77649173768 scopus 로고
    • Longitudinal data analysis using generalized linear models
    • L iang KYL, Zeger SL. Longitudinal data analysis using generalized linear models. Biometrika. 1986;73:13-22
    • (1986) Biometrika , vol.73 , pp. 13-22
    • Liang, K.Y.L.1    Zeger, S.L.2
  • 18
  • 19
  • 21
    • 0001306637 scopus 로고
    • Regression models for ordinal data
    • McCullagh P. Regression models for ordinal data. J R Stat Soc B. 1980;42:109-142
    • (1980) J R Stat Soc B. , vol.42 , pp. 109-142
    • McCullagh, P.1
  • 22
    • 0026821975 scopus 로고
    • Zero-inflated Poisson regression, with an application to defects in manufacturing
    • L ambert D. Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics. 1992;34:1-14
    • (1992) Technometrics , vol.34 , pp. 1-14
    • Lambert, D.1
  • 25
    • 66149151415 scopus 로고    scopus 로고
    • Estimated effect of epoetin dosage on survival among elderly hemodialysis patients in the united states
    • Zhang Y, Thamer M, Cotter D, Kaufman J, Hernán MA. Estimated effect of epoetin dosage on survival among elderly hemodialysis patients in the United States. Clin J Am Soc Nephrol. 2009;4:638-644
    • (2009) Clin J Am Soc Nephrol , vol.4 , pp. 638-644
    • Zhang, Y.1    Thamer, M.2    Cotter, D.3    Kaufman, J.4    Hernán, M.A.5
  • 26
    • 79953730782 scopus 로고    scopus 로고
    • A marginal structural model analysis for loneliness: Implications for intervention trials and clinical practice
    • Vander Weele TJ, Hawkley LC, Thisted RA, Cacioppo JT. A marginal structural model analysis for loneliness: Implications for intervention trials and clinical practice. J Consult Clin Psychol. 2011;79:225-235
    • (2011) J Consult Clin Psychol , vol.79 , pp. 225-235
    • Vander Weele, T.J.1    Hawkley, L.C.2    Thisted, R.A.3    Cacioppo, J.T.4
  • 27
    • 77950655948 scopus 로고    scopus 로고
    • Forthcoming. Chapman/Hall Available at. Accessed 25 June
    • Hernán MA, Robins J. Causal Inference. Forthcoming. Chapman/Hall, Available at: Http:// www.hsph.harvard.edu/miguel-hernan/causal-inference-book/. Accessed 25 June 2013
    • (2013) Causal Inference
    • Hernán, M.A.1    Robins, J.2
  • 30
    • 84863991676 scopus 로고    scopus 로고
    • A simulation study of finite-sample properties of marginal structural cox proportional hazards models
    • Westreich D, Cole SR, Schisterman EF, Platt RW. A simulation study of finite-sample properties of marginal structural Cox proportional hazards models. Stat Med. 2012;31:2098-2109
    • (2012) Stat Med , vol.31 , pp. 2098-2109
    • Westreich, D.1    Cole, S.R.2    Schisterman, E.F.3    Platt, R.W.4
  • 31
    • 74749097452 scopus 로고    scopus 로고
    • Improving propensity score weighting using machine learning
    • L ee BK, Lessler J, Stuart EA. Improving propensity score weighting using machine learning. Stat Med. 2010;29:337-346
    • (2010) Stat Med , vol.29 , pp. 337-346
    • Lee, B.K.1    Lessler, J.2    Stuart, E.A.3
  • 32
    • 79953304087 scopus 로고    scopus 로고
    • Weight trimming and propensity score weighting
    • L ee BK, Lessler J, Stuart EA. Weight trimming and propensity score weighting. PLoS One. 2011;6:e18174
    • (2011) PLoS One , vol.6
    • Lee, B.K.1    Lessler, J.2    Stuart, E.A.3
  • 33
    • 84877966202 scopus 로고    scopus 로고
    • Assessing the component associations of the healthy worker survivor bias: Occupational asbestos exposure and lung cancer mortality
    • N aimi AI, Cole SR, Hudgens MG, Brookhart MA, Richardson DB. Assessing the component associations of the healthy worker survivor bias: Occupational asbestos exposure and lung cancer mortality. Ann Epidemiol. 2013;23:334-341
    • (2013) Ann Epidemiol , vol.23 , pp. 334-341
    • Naimi, A.I.1    Cole, S.R.2    Hudgens, M.G.3    Brookhart, M.A.4    Richardson, D.B.5
  • 34
    • 84859408004 scopus 로고    scopus 로고
    • Estimation of dose-response functions for longitudinal data using the generalised propensity score
    • Moodie EE, Stephens DA. Estimation of dose-response functions for longitudinal data using the generalised propensity score. Stat Methods in Med Res. 2012;21:149-166
    • (2012) Stat Methods in Med Res , vol.21 , pp. 149-166
    • Moodie, E.E.1    Stephens, D.A.2
  • 35
    • 0020334311 scopus 로고
    • Covariate analysis of survival data: A small-sample study of Coxas model
    • Johnson ME, Tolley HD, Bryson MC, Goldman AS. Covariate analysis of survival data: A small-sample study of Coxas model. Biometrics. 1982;38:685-698
    • (1982) Biometrics , vol.38 , pp. 685-698
    • Johnson, M.E.1    Tolley, H.D.2    Bryson, M.C.3    Goldman, A.S.4
  • 36
    • 77953921835 scopus 로고    scopus 로고
    • Marginalia: Comparing adjusted effect measures
    • Kaufman JS. Marginalia: Comparing adjusted effect measures. Epidemiol. 2010;21:490-493
    • (2010) Epidemiol , vol.21 , pp. 490-493
    • Kaufman, J.S.1
  • 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
    • R obins JM, Greenland S, Hu FC. Estimation of the causal effect of a time-varying exposure on the marginal mean of a repeated binary outcome. J Am Stat Assoc. 1999;94:687-700
    • (1999) J Am Stat Assoc , vol.94 , pp. 687-700
    • Robins, J.M.1    Greenland, S.2    Hu, F.C.3
  • 38
    • 0031184508 scopus 로고    scopus 로고
    • The importance of critically interpreting simulation studies
    • Maldonado G, Greenland S. The importance of critically interpreting simulation studies. Epidemiol. 1997;8:453-456
    • (1997) Epidemiol , vol.8 , pp. 453-456
    • Maldonado, G.1    Greenland, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.