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Volumn 23, Issue 1, 2012, Pages 129-131

Commentary: Weighing up the dead and missing: Reflections on inverse-probability weighting and principal stratification to address truncation by death

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE DEFECT; HEALTH SERVICE; HEALTH STATUS; HUMAN; MORTALITY; NOTE; OUTCOME ASSESSMENT; PRIORITY JOURNAL; PROBABILITY; SMOKING;

EID: 83655198181     PISSN: 10443983     EISSN: 15315487     Source Type: Journal    
DOI: 10.1097/EDE.0b013e3182319159     Document Type: Note
Times cited : (34)

References (14)
  • 1
    • 83655191944 scopus 로고    scopus 로고
    • Accounting for bias due to selective attrition: The example of smoking and cognitive decline in older adults
    • Weuve J, Tchetgen Tchetgen EJ, Glymour MM, et al. Accounting for bias due to selective attrition: the example of smoking and cognitive decline in older adults. Epidemiology. 2012;23:119-128.
    • (2012) Epidemiology , vol.23 , pp. 119-128
    • Weuve, J.1    Tchetgen Tchetgen, E.J.2    Glymour, M.M.3
  • 2
    • 50549100686 scopus 로고    scopus 로고
    • Causal directed acyclic graphs and the direction of unmeasured confounding bias
    • VanderWeele TJ, Hernán MA, Robins JM. Causal directed acyclic graphs and the direction of unmeasured confounding bias. Epidemiology. 2008;19:720-728.
    • (2008) Epidemiology , vol.19 , pp. 720-728
    • Vanderweele, T.J.1    Hernán, M.A.2    Robins, J.M.3
  • 3
    • 78650798678 scopus 로고    scopus 로고
    • Neighborhood effects on health: Correcting bias from neighborhood effects on participation
    • Chaix B, Billaudeau N, Thomas F, et al. Neighborhood effects on health: correcting bias from neighborhood effects on participation. Epidemiology. 2011;22:18-26.
    • (2011) Epidemiology , vol.22 , pp. 18-26
    • Chaix, B.1    Billaudeau, N.2    Thomas, F.3
  • 4
    • 13944279789 scopus 로고    scopus 로고
    • A structural approach to selection bias
    • DOI 10.1097/01.ede.0000135174.63482.43
    • Hernán MA, Hernández-Díaz S, Robins JM. A structural approach to selection bias. Epidemiology. 2004;15:615-625. (Pubitemid 40416916)
    • (2004) Epidemiology , vol.15 , Issue.5 , pp. 615-625
    • Hernan, M.A.1    Hernandez-Diaz, S.2    Robins, J.M.3
  • 5
    • 0038334174 scopus 로고    scopus 로고
    • Quantifying biases in causal models: Classical confounding vs collider-stratification bias
    • DOI 10.1097/00001648-200305000-00009
    • Greenland S. Quantifying biases in causal models: classical confounding vs collider-stratification bias. Epidemiology. 2003;14:300-306. (Pubitemid 40417081)
    • (2003) Epidemiology , vol.14 , Issue.3 , pp. 300-306
    • Greenland, S.1
  • 6
    • 24144488415 scopus 로고    scopus 로고
    • When is baseline adjustment useful in analyses of change? An example with education and cognitive change
    • DOI 10.1093/aje/kwi187, Correction of Anemia and Treatment with Dialysis: Novel Therapeutic Modalities in Congestive Heart Failure
    • Glymour MM, Weuve J, Berkman LF, Kawachi I, Robins JM. When is baseline adjustment useful in analyses of change? An example with education and cognitive change. Am J Epidemiol. 2005;162:267-278. (Pubitemid 41373531)
    • (2005) American Journal of Epidemiology , vol.162 , Issue.3 , pp. 267-278
    • Glymour, M.M.1    Weuve, J.2    Berkman, L.F.3    Kawachi, I.4    Robins, J.M.5
  • 7
    • 53949098356 scopus 로고    scopus 로고
    • Methodological challenges in causal research on racial and ethnic patterns of cognitive trajectories: Measurement, selection, and bias
    • Glymour MM, Weuve J, Chen JT. Methodological challenges in causal research on racial and ethnic patterns of cognitive trajectories: measurement, selection, and bias. Neuropsychol Rev. 2008;18:194-213.
    • (2008) Neuropsychol Rev , vol.18 , pp. 194-213
    • Glymour, M.M.1    Weuve, J.2    Chen, J.T.3
  • 8
    • 0033847784 scopus 로고    scopus 로고
    • Marginal structural models and causal inference in epidemiology
    • DOI 10.1097/00001648-200009000-00011
    • Robins JM, Hernán MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000;11:550-560. (Pubitemid 30660034)
    • (2000) Epidemiology , vol.11 , Issue.5 , pp. 550-560
    • Robins, J.M.1    Hernan, M.A.2    Brumback, B.3
  • 9
    • 79953837790 scopus 로고    scopus 로고
    • A simple method for principal strata effects when the outcome has been truncated due to death
    • Chiba Y, VanderWeele TJ. A simple method for principal strata effects when the outcome has been truncated due to death. Am J Epidemiol. 2011;173:745-751.
    • (2011) Am J Epidemiol , vol.173 , pp. 745-751
    • Chiba, Y.1    Vanderweele, T.J.2
  • 10
    • 33845368290 scopus 로고    scopus 로고
    • Causal inference through potential outcomes and principal stratification: Application to studies with "censoring" due to death
    • Rubin DB. Causal inference through potential outcomes and principal stratification: application to studies with "censoring" due to death. Statist Sci. 2006;21:299-309.
    • (2006) Statist Sci , vol.21 , pp. 299-309
    • Rubin, D.B.1
  • 11
    • 0036188782 scopus 로고    scopus 로고
    • Principal stratification in causal inference
    • Frangakis CE, Rubin DB. Principal stratification in causal inference. Biometrics. 2002;58:21-29. (Pubitemid 34194484)
    • (2002) Biometrics , vol.58 , Issue.1 , pp. 21-29
    • Frangakis, C.E.1    Rubin, D.B.2
  • 12
    • 79953676047 scopus 로고    scopus 로고
    • Principal stratification-a goal or a tool?
    • doi: 10.2202/1557-4679.1322
    • Pearl J. Principal stratification-a goal or a tool? Int J Biostat. 2011;7:20. doi: 10.2202/1557-4679.1322.
    • (2011) Int J Biostat , vol.7 , pp. 20
    • Pearl, J.1
  • 13
    • 79961241640 scopus 로고    scopus 로고
    • Principal stratification-uses and limitations
    • doi: 10.2202/1557-4679.1329
    • VanderWeele TJ. Principal stratification-uses and limitations. Int J Biostat. 2011;7:28. doi: 10.2202/1557-4679.1329.
    • (2011) Int J Biostat , vol.7 , pp. 28
    • Vanderweele, T.J.1
  • 14
    • 15044360979 scopus 로고    scopus 로고
    • An estimator for treatment comparisons among survivors in randomized trials
    • DOI 10.1111/j.0006-341X.2005.030227.x
    • Hayden D, Pauler DK, Schoenfeld D. An estimator for treatment comparisons among survivors in randomized trials. Biometrics. 2005; 61:305-310. (Pubitemid 40380993)
    • (2005) Biometrics , vol.61 , Issue.1 , pp. 305-310
    • Hayden, D.1    Pauler, D.K.2    Schoenfeld, D.3


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