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Volumn 73, Issue 5, 2011, Pages 729-752

Augmented designs to assess principal strata direct effects

Author keywords

Augmented designs; Bounds; Causal inference; Direct and indirect effects; Principal stratification

Indexed keywords


EID: 80054726381     PISSN: 13697412     EISSN: 14679868     Source Type: Journal    
DOI: 10.1111/j.1467-9868.2011.00780.x     Document Type: Article
Times cited : (41)

References (51)
  • 1
    • 33947687099 scopus 로고    scopus 로고
    • Estimating efficacy in a proposed randomized trial with initial and later non-compliance
    • Baker, S. G., Frangakis, C. and Lindeman, K. S. (2007) Estimating efficacy in a proposed randomized trial with initial and later non-compliance. Appl. Statist., 56, 211-221.
    • (2007) Appl. Statist. , vol.56 , pp. 211-221
    • Baker, S.G.1    Frangakis, C.2    Lindeman, K.S.3
  • 2
    • 30244508525 scopus 로고    scopus 로고
    • Bounds on treatment effects from studies with imperfect compliance
    • Balke, A. and Pearl, J. (1997) Bounds on treatment effects from studies with imperfect compliance. J. Am. Statist. Ass., 92, 1171-1176.
    • (1997) J. Am. Statist. Ass. , vol.92 , pp. 1171-1176
    • Balke, A.1    Pearl, J.2
  • 3
    • 0041743094 scopus 로고    scopus 로고
    • A principal stratification approach to broken randomized experiments: a case study of School Choice vouchers in New York City (with discussion)
    • Barnard, J., Frangakis, C. E., Hill, J. L. and Rubin, D. B. (2003) A principal stratification approach to broken randomized experiments: a case study of School Choice vouchers in New York City (with discussion). J. Am. Statist. Ass., 98, 299-323.
    • (2003) J. Am. Statist. Ass. , vol.98 , pp. 299-323
    • Barnard, J.1    Frangakis, C.E.2    Hill, J.L.3    Rubin, D.B.4
  • 4
    • 49749118623 scopus 로고    scopus 로고
    • Bounds on direct effects in the presence of confounded intermediate variables
    • Cai, Z., Kuroki, M., Pearl, J. and Tian, J. (2008) Bounds on direct effects in the presence of confounded intermediate variables. Biometrics, 64, 695-701.
    • (2008) Biometrics , vol.64 , pp. 695-701
    • Cai, Z.1    Kuroki, M.2    Pearl, J.3    Tian, J.4
  • 5
    • 33750346366 scopus 로고    scopus 로고
    • Bounds on causal effects in three-arm trials with non-compliance
    • Cheng, J. and Small, D. S. (2006) Bounds on causal effects in three-arm trials with non-compliance. J. R. Statist. Soc. B, 68, 815-836.
    • (2006) J. R. Statist. Soc. B , vol.68 , pp. 815-836
    • Cheng, J.1    Small, D.S.2
  • 6
    • 60449096960 scopus 로고    scopus 로고
    • Efficient nonparametric estimation of causal effects in randomized trials with noncompliance
    • Cheng, J., Small, D. S., Tan, Z. and Ten Have, T. R. (2009) Efficient nonparametric estimation of causal effects in randomized trials with noncompliance. Biometrika, 96, 19-36.
    • (2009) Biometrika , vol.96 , pp. 19-36
    • Cheng, J.1    Small, D.S.2    Tan, Z.3    Ten Have, T.R.4
  • 7
    • 1542742382 scopus 로고    scopus 로고
    • Causal inference without counterfactuals (with discussion)
    • Dawid, A. P. (2000) Causal inference without counterfactuals (with discussion). J. Am. Statist. Ass., 95, 407-448.
    • (2000) J. Am. Statist. Ass. , vol.95 , pp. 407-448
    • Dawid, A.P.1
  • 8
    • 84864386833 scopus 로고    scopus 로고
    • Identification and estimation of causal mechanisms and net effects of a treatment under unconfoundedness
    • Institute for the Study of Labor, Bonn.
    • Flores, C. A. and Flores-Lagunes, A. (2009a) Identification and estimation of causal mechanisms and net effects of a treatment under unconfoundedness. Discussion Paper 4237. Institute for the Study of Labor, Bonn.
    • (2009) Discussion Paper 4237.
    • Flores, C.A.1    Flores-Lagunes, A.2
  • 9
    • 80054769053 scopus 로고    scopus 로고
    • Nonparametric partial and point identification of net or direct causal effects
    • paper 2009.
    • Flores, C. A. and Flores-Lagunes, A. (2009b) Nonparametric partial and point identification of net or direct causal effects. American Economics Association A. Meet., paper 2009.
    • (2009) American Economics Association A. Meet.
    • Flores, C.A.1    Flores-Lagunes, A.2
  • 10
    • 80054771323 scopus 로고    scopus 로고
    • Nonparametric partial identification of causal net and mechanism average treatment effects
    • Department of Food and Resource Economics, University of Florida, Gainesville.
    • Flores, C. A. and Flores-Lagunes, A. (2010) Nonparametric partial identification of causal net and mechanism average treatment effects. Working Paper. Department of Food and Resource Economics, University of Florida, Gainesville.
    • (2010) Working Paper
    • Flores, C.A.1    Flores-Lagunes, A.2
  • 11
    • 33845484073 scopus 로고    scopus 로고
    • Augmented designs to assess immune response in vaccine trials
    • Follmann, D. (2006) Augmented designs to assess immune response in vaccine trials. Biometrics, 62, 1161-1169.
    • (2006) Biometrics , vol.62 , pp. 1161-1169
    • Follmann, D.1
  • 12
    • 0034861793 scopus 로고    scopus 로고
    • Compliance subsampling designs for comparative research: estimation and optimal planning
    • Frangakis, C. E. and Baker, S. G. (2001) Compliance subsampling designs for comparative research: estimation and optimal planning. Biometrics, 27, 899-908.
    • (2001) Biometrics , vol.27 , pp. 899-908
    • Frangakis, C.E.1    Baker, S.G.2
  • 13
    • 0036188782 scopus 로고    scopus 로고
    • Principal stratification in causal inference
    • Frangakis, C. E. and Rubin, D. B. (2002) Principal stratification in causal inference. Biometrics, 58, 21-29.
    • (2002) Biometrics , vol.58 , pp. 21-29
    • Frangakis, C.E.1    Rubin, D.B.2
  • 14
    • 34548421653 scopus 로고    scopus 로고
    • Principal stratification designs to estimate input data missing due to death (with discussion)
    • Frangakis, C. E., Rubin, D. B., An, M. W. and MacKenzie, E. (2007) Principal stratification designs to estimate input data missing due to death (with discussion). Biometrics, 63, 641-662.
    • (2007) Biometrics , vol.63 , pp. 641-662
    • Frangakis, C.E.1    Rubin, D.B.2    An, M.W.3    MacKenzie, E.4
  • 16
    • 33847355215 scopus 로고    scopus 로고
    • Identifying direct and indirect effects in a non-counterfactual framework
    • Geneletti, S. (2007) Identifying direct and indirect effects in a non-counterfactual framework. J. R. Statist. Soc. B, 69, 199-215.
    • (2007) J. R. Statist. Soc. B , vol.69 , pp. 199-215
    • Geneletti, S.1
  • 17
    • 56049086418 scopus 로고    scopus 로고
    • Evaluating candidate principal surrogate endpoints
    • Gilbert, P. B. and Hudgens, M. G. (2008) Evaluating candidate principal surrogate endpoints. Biometrics, 64, 1146-1154.
    • (2008) Biometrics , vol.64 , pp. 1146-1154
    • Gilbert, P.B.1    Hudgens, M.G.2
  • 19
    • 84920420698 scopus 로고
    • Statistics and causal inference (with discussion)
    • Holland, P. (1986) Statistics and causal inference (with discussion). J. Am. Statist. Ass., 81, 945-970.
    • (1986) J. Am. Statist. Ass. , vol.81 , pp. 945-970
    • Holland, P.1
  • 20
    • 37349065559 scopus 로고    scopus 로고
    • Sharp bounds on causal effects in randomized experiments with ''truncation-by-death''
    • Imai, K. (2008) Sharp bounds on causal effects in randomized experiments with ''truncation-by-death''. Statist. Probab. Lett., 78, 144-149.
    • (2008) Statist. Probab. Lett. , vol.78 , pp. 144-149
    • Imai, K.1
  • 21
    • 78650085125 scopus 로고    scopus 로고
    • A general approach to causal mediation analysis
    • Imai, K., Keele, L. and Tingley, D. (2010a). A general approach to causal mediation analysis. Psychol. Meth., 15, 309-334.
    • (2010) Psychol. Meth. , vol.15 , pp. 309-334
    • Imai, K.1    Keele, L.2    Tingley, D.3
  • 22
    • 77957786869 scopus 로고    scopus 로고
    • Identification, inference and sensitivity analysis for causal mediation effects
    • Imai, K., Keele, L. and Yamamoto, T. (2010b) Identification, inference and sensitivity analysis for causal mediation effects. Statist. Sci., 25, 51-71.
    • (2010) Statist. Sci. , vol.25 , pp. 51-71
    • Imai, K.1    Keele, L.2    Yamamoto, T.3
  • 23
    • 77957823871 scopus 로고    scopus 로고
    • Experimental designs for identifying causal mechanisms
    • Department of Politics, Princeton University, Princeton.
    • Imai, K., Tingley, D. and Yamamoto, T. (2010c) Experimental designs for identifying causal mechanisms. Technical Report. Department of Politics, Princeton University, Princeton.
    • (2010) Technical Report
    • Imai, K.1    Tingley, D.2    Yamamoto, T.3
  • 24
    • 8344228503 scopus 로고    scopus 로고
    • Confidence intervals for partially identified parameters
    • Imbens, G. W. and Manski, C. F. (2004) Confidence intervals for partially identified parameters. Econometrica, 72, 1845-1857.
    • (2004) Econometrica , vol.72 , pp. 1845-1857
    • Imbens, G.W.1    Manski, C.F.2
  • 25
    • 42349084894 scopus 로고    scopus 로고
    • Principal stratification for causal inference with extended partial compliance
    • Jin, H. and Rubin, D. B. (2008) Principal stratification for causal inference with extended partial compliance. J. Am. Statist. Ass., 103, 101-111.
    • (2008) J. Am. Statist. Ass. , vol.103 , pp. 101-111
    • Jin, H.1    Rubin, D.B.2
  • 26
    • 66949158002 scopus 로고    scopus 로고
    • Related causal frameworks for surrogate outcomes
    • Joffe, M. M. and Greene T. (2009) Related causal frameworks for surrogate outcomes. Biometrics, 65, 530-539.
    • (2009) Biometrics , vol.65 , pp. 530-539
    • Joffe, M.M.1    Greene, T.2
  • 27
    • 34548457818 scopus 로고    scopus 로고
    • Defining and estimating intervention effects for groups that will develop an auxiliary outcome
    • Joffe, M. M., Small, D. and Hsu, C.-Y. (2007) Defining and estimating intervention effects for groups that will develop an auxiliary outcome. Statist. Sci., 22, 74-97.
    • (2007) Statist. Sci. , vol.22 , pp. 74-97
    • Joffe, M.M.1    Small, D.2    Hsu, C.-Y.3
  • 28
    • 67549100999 scopus 로고    scopus 로고
    • Training, wages, and sample selection: estimating sharp bounds on treatment effects
    • Lee, D. S. (2009) Training, wages, and sample selection: estimating sharp bounds on treatment effects. Rev. Econ. Stud., 76, 1071-1102.
    • (2009) Rev. Econ. Stud. , vol.76 , pp. 1071-1102
    • Lee, D.S.1
  • 31
    • 34547662963 scopus 로고    scopus 로고
    • Application of the principal stratification approach to the Faenza randomized experiment on breast self-examination
    • Mattei, A. and Mealli, F. (2007) Application of the principal stratification approach to the Faenza randomized experiment on breast self-examination. Biometrics, 63, 437-446.
    • (2007) Biometrics , vol.63 , pp. 437-446
    • Mattei, A.1    Mealli, F.2
  • 32
    • 0347985212 scopus 로고    scopus 로고
    • Assumptions allowing the estimation of direct causal effects. Commentary on 'Healthy, wealthy, and wise?: tests for direct causal paths between health and socioeconomic status' (by P. Adams, M. D. Hurd, D. McFadden, A. Merrill and T. Ribeiro
    • Mealli, F. and Rubin, D. B. (2003) Assumptions allowing the estimation of direct causal effects. Commentary on 'Healthy, wealthy, and wise?: tests for direct causal paths between health and socioeconomic status' (by P. Adams, M. D. Hurd, D. McFadden, A. Merrill and T. Ribeiro). J. Econmetr., 112, 79-87.
    • (2003) J. Econmetr. , vol.112 , pp. 79-87
    • Mealli, F.1    Rubin, D.B.2
  • 33
    • 0004213845 scopus 로고    scopus 로고
    • Cambridge: Cambridge University Press.
    • Pearl, J. (2000) Causality. Cambridge: Cambridge University Press.
    • (2000) Causality
    • Pearl, J.1
  • 34
    • 0242274455 scopus 로고    scopus 로고
    • Direct and indirect effects
    • (eds J. S. Breese and D. Koller) - San Francisco: Morgan Kaufmann.
    • Pearl, J. (2001) Direct and indirect effects. In Proc. 17th Conf. Uncertainty in Artificial Intelligence (eds J. S. Breese and D. Koller), pp. 411-420. San Francisco: Morgan Kaufmann.
    • (2001) Proc. 17th Conf. Uncertainty in Artificial Intelligence , pp. 411-420
    • Pearl, J.1
  • 36
    • 77950979061 scopus 로고    scopus 로고
    • Assessing surrogate endpoints in vaccine trials with case-cohort sampling and the cox model
    • Qin, L., Gilbert, P. B., Follmann, D. and Li, D. (2008) Assessing surrogate endpoints in vaccine trials with case-cohort sampling and the cox model. Ann. Appl. Statist., 2, 386-407.
    • (2008) Ann. Appl. Statist. , vol.2 , pp. 386-407
    • Qin, L.1    Gilbert, P.2    Follmann, D.3    Li, D.4
  • 37
    • 15544371335 scopus 로고    scopus 로고
    • Semantics of causal DAG models and the identification of direct and indirect effects
    • (eds P. Green, N. Hjort and S. Richardson) - Oxford: Oxford University Press.
    • Robins, J. M. (2003) Semantics of causal DAG models and the identification of direct and indirect effects. In Highly Structured Stochastic Systems (eds P. Green, N. Hjort and S. Richardson), pp. 70-81. Oxford: Oxford University Press.
    • (2003) Highly Structured Stochastic Systems , pp. 70-81
    • Robins, J.M.1
  • 38
    • 0026556155 scopus 로고
    • Identifiability and exchangeability for direct and indirect effects
    • Robins, J. M. and Greenland, S. (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
  • 39
    • 0001198982 scopus 로고
    • The consequences of adjustment for a concomitant variable that has been affected by the treatment
    • Rosenbaum, P. R. (1984) The consequences of adjustment for a concomitant variable that has been affected by the treatment. J. R. Statist. Soc. A, 147, 656-666.
    • (1984) J. R. Statist. Soc. A , vol.147 , pp. 656-666
    • Rosenbaum, P.R.1
  • 40
    • 58149417330 scopus 로고
    • Estimating causal effects of treatments in randomized and nonrandomized studies
    • Rubin, D. B. (1974) Estimating causal effects of treatments in randomized and nonrandomized studies. J. Educ. Psychol., 66, 688-701.
    • (1974) J. Educ. Psychol. , vol.66 , pp. 688-701
    • Rubin, D.B.1
  • 41
    • 0001599001 scopus 로고
    • Assignment to a treatment group on the basis of a covariate
    • Rubin, D. B. (1977) Assignment to a treatment group on the basis of a covariate. J. Educ. Statist., 2, 1-26.
    • (1977) J. Educ. Statist. , vol.2 , pp. 1-26
    • Rubin, D.B.1
  • 42
    • 0002531157 scopus 로고
    • Bayesian inference for causal effects
    • Rubin, D. B. (1978) Bayesian inference for causal effects. Ann. Statist., 6, 34-58.
    • (1978) Ann. Statist. , vol.6 , pp. 34-58
    • Rubin, D.B.1
  • 43
    • 84950657856 scopus 로고
    • Comment on 'Randomization analysis of experimental data: the Fisher randomization test' (by D. Basu)
    • Rubin, D. B. (1980) Comment on 'Randomization analysis of experimental data: the Fisher randomization test' (by D. Basu) J. Am. Statist. Ass., 75, 591-593.
    • (1980) J. Am. Statist. Ass. , vol.75 , pp. 591-593
    • Rubin, D.B.1
  • 44
    • 84972506931 scopus 로고
    • Comment: 'Neyman (1923) and Causal inference in experiments and observational Studies
    • Rubin, D. B. (1990) Comment: 'Neyman (1923) and Causal inference in experiments and observational Studies. Statist. Sci., 5, 472-480.
    • (1990) Statist. Sci. , vol.5 , pp. 472-480
    • Rubin, D.B.1
  • 45
    • 2942562549 scopus 로고    scopus 로고
    • Direct and indirect causal effects via potential outcomes (with discussion)
    • 196-198.
    • Rubin, D. B. (2004) Direct and indirect causal effects via potential outcomes (with discussion). Scand. J. Statist., 31, 161-170, 196-198.
    • (2004) Scand. J. Statist. , vol.31 , pp. 161-170
    • Rubin, D.B.1
  • 46
    • 80054723380 scopus 로고    scopus 로고
    • A Bayesian semiparametric approach to intermediate variables in causal inference
    • Department of Statistical Science, Duke University, Durham.
    • Schwartz, S. L., Li, F. and Mealli, F. (2010) A Bayesian semiparametric approach to intermediate variables in causal inference. Mimeo. Department of Statistical Science, Duke University, Durham.
    • (2010) Mimeo
    • Schwartz, S.L.1    Li, F.2    Mealli, F.3
  • 47
    • 66949123890 scopus 로고    scopus 로고
    • Sensitivity analysis for principal stratum direct effects, with an application to a study of physical activity and coronary heart disease
    • Sjölander, A., Humphreys, K., Vansteelandt, S., Bellocco, R. and Palmgren, J. (2009) Sensitivity analysis for principal stratum direct effects, with an application to a study of physical activity and coronary heart disease. Biometrics, 65, 514-520.
    • (2009) Biometrics , vol.65 , pp. 514-520
    • Sjölander, A.1    Humphreys, K.2    Vansteelandt, S.3    Bellocco, R.4    Palmgren, J.5
  • 48
    • 54049144616 scopus 로고    scopus 로고
    • Simple relations between principal stratification and direct and indirect effects
    • VanderWeele, T. L. (2008) Simple relations between principal stratification and direct and indirect effects. Statist. Probab. Lett., 78, 2957-2962.
    • (2008) Statist. Probab. Lett. , vol.78 , pp. 2957-2962
    • VanderWeele, T.L.1
  • 49
    • 67349216949 scopus 로고    scopus 로고
    • Marginal structural models for the estimation of direct and indirect effects
    • VanderWeele, T. L. (2009) Marginal structural models for the estimation of direct and indirect effects. Epidemiology, 20, 18-26.
    • (2009) Epidemiology , vol.20 , pp. 18-26
    • VanderWeele, T.L.1
  • 50
    • 1642359207 scopus 로고    scopus 로고
    • Estimation of causal effects via principal stratification when some outcomes are truncated by ''death''
    • Zhang, J. L. and Rubin, D. B. (2003) Estimation of causal effects via principal stratification when some outcomes are truncated by ''death''. J. Educ. Behav. Statist., 28, 353-368.
    • (2003) J. Educ. Behav. Statist. , vol.28 , pp. 353-368
    • Zhang, J.L.1    Rubin, D.B.2
  • 51
    • 70350304288 scopus 로고    scopus 로고
    • Likelihood-based analysis of causal effects of job-training programs using principal stratification
    • Zhang, J. L., Rubin, D. B. and Mealli, F. (2009) Likelihood-based analysis of causal effects of job-training programs using principal stratification. J. Am. Statist. Ass., 104, 166-176.
    • (2009) J. Am. Statist. Ass. , vol.104 , pp. 166-176
    • Zhang, J.L.1    Rubin, D.B.2    Mealli, F.3


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