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Volumn 11, Issue 3, 2011, Pages 345-367

Nonparametric bounds for the causal effect in a binary instrumental-variable model

Author keywords

Average causal effect; Bpbounds; Bpboundsi; Causal inference; Instrumental variables; Nonparametric bounds; st0232

Indexed keywords


EID: 80053970521     PISSN: 1536867X     EISSN: None     Source Type: Journal    
DOI: 10.1177/1536867x1101100302     Document Type: Article
Times cited : (25)

References (35)
  • 1
    • 84922353689 scopus 로고
    • Two-stage least squares estimation of average causal effects in models with variable treatment intensity
    • Angrist, J. D., and G. W. Imbens. 1995. Two-stage least squares estimation of average causal effects in models with variable treatment intensity. Journal of the American Statistical Association 90: 431-442.
    • (1995) Journal of the American Statistical Association , vol.90 , pp. 431-442
    • Angrist, J.D.1    Imbens, G.W.2
  • 3
    • 0002445730 scopus 로고
    • Counterfactual probabilities: Computational methods, bounds, and applications
    • In, ed. R. L. de Mantaras and D. Poole, San Francisco: Morgan Kaufmann
    • Balke, A., and J. Pearl. 1994. Counterfactual probabilities: Computational methods, bounds, and applications. In Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, ed. R. L. de Mantaras and D. Poole, 46-54. San Francisco: Morgan Kaufmann.
    • (1994) Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence , pp. 46-54
    • Balke, A.1    Pearl, J.2
  • 4
    • 30244508525 scopus 로고    scopus 로고
    • Bounds on treatment effects from studies with imperfect compliance
    • Balke, A., and J. Pearl. 1997. Bounds on treatment effects from studies with imperfect compliance. Journal of the American Statistical Association 92: 1171-1176.
    • (1997) Journal of the American Statistical Association , vol.92 , pp. 1171-1176
    • Balke, A.1    Pearl, J.2
  • 5
    • 85066989975 scopus 로고    scopus 로고
    • Instrumental variables and GMM: Estimation and testing
    • Baum, C. F., M. E. Schaffer, and S. Stillman. 2003. Instrumental variables and GMM: Estimation and testing. Stata Journal 3: 1-31.
    • (2003) Stata Journal , vol.3 , pp. 1-31
    • Baum, C.F.1    Schaffer, M.E.2    Stillman, S.3
  • 6
    • 43749107899 scopus 로고    scopus 로고
    • Enhanced routines for instrumental variables/generalized method of moments estimation and testing
    • Baum, C. F., M. E. Schaffer, and S. Stillman. 2007. Enhanced routines for instrumental variables/generalized method of moments estimation and testing. Stata Journal 7: 465-506.
    • (2007) Stata Journal , vol.7 , pp. 465-506
    • Baum, C.F.1    Schaffer, M.E.2    Stillman, S.3
  • 9
    • 77954247741 scopus 로고    scopus 로고
    • Instrumental variable models for discrete outcomes
    • Chesher, A. 2010. Instrumental variable models for discrete outcomes. Econometrica 78: 575-601.
    • (2010) Econometrica , vol.78 , pp. 575-601
    • Chesher, A.1
  • 10
    • 77956222270 scopus 로고    scopus 로고
    • Working Paper 10/239, Centre for Market and Public Organisation, University of Bristol, UK
    • Clarke, P., and F. Windmeijer. 2010. Instrumental variable estimators for binary outcomes. Working Paper 10/239, Centre for Market and Public Organisation, University of Bristol, UK. http://www.bristol.ac.uk/cmpo/publications/papers/2010/abstract239.html.
    • (2010) Instrumental variable estimators for binary outcomes
    • Clarke, P.1    Windmeijer, F.2
  • 11
    • 0037322022 scopus 로고    scopus 로고
    • 'Mendelian randomization': Can genetic epidemiology contribute to understanding environmental determinants of disease?
    • Davey Smith, G., and S. Ebrahim. 2003. 'Mendelian randomization': Can genetic epidemiology contribute to understanding environmental determinants of disease? International Journal of Epidemiology 32: 1-22.
    • (2003) International Journal of Epidemiology , vol.32 , pp. 1-22
    • Davey Smith, G.1    Ebrahim, S.2
  • 12
    • 38049023073 scopus 로고    scopus 로고
    • Clustered environments and randomized genes: A fundamental distinction between conventional and genetic epidemiology
    • Davey Smith, G., D. A. Lawlor, R. M. Harbord, N. J. Timpson, I. Day, and S. Ebrahim. 2007. Clustered environments and randomized genes: A fundamental distinction between conventional and genetic epidemiology. PLoS Medicine 4: e352.
    • (2007) PLoS Medicine , vol.4
    • Davey Smith, G.1    Lawlor, D.A.2    Harbord, R.M.3    Timpson, N.J.4    Day, I.5    Ebrahim, S.6
  • 14
    • 4043172374 scopus 로고    scopus 로고
    • Causal inference using influence diagrams: The problem of partial compliance
    • In, ed. P. J. Green, N. L. Hjort, and S. Richardson, Oxford: Oxford University Press
    • Dawid, A. P. 2003. Causal inference using influence diagrams: The problem of partial compliance. In Highly Structured Stochastic Systems, ed. P. J. Green, N. L. Hjort, and S. Richardson, 45-65. Oxford: Oxford University Press.
    • (2003) Highly Structured Stochastic Systems , pp. 45-65
    • Dawid, A.P.1
  • 15
    • 77957778209 scopus 로고    scopus 로고
    • Assumptions of IV methods for observational epidemiology
    • Didelez, V., S. Meng, and N. A. Sheehan. 2010. Assumptions of IV methods for observational epidemiology. Statistical Science 25: 22-40.
    • (2010) Statistical Science , vol.25 , pp. 22-40
    • Didelez, V.1    Meng, S.2    Sheehan, N.A.3
  • 16
    • 34547682094 scopus 로고    scopus 로고
    • Mendelian randomization as an instrumental variable approach to causal inference
    • Didelez, V., and N. A. Sheehan. 2007. Mendelian randomization as an instrumental variable approach to causal inference. Statistical Methods in Medical Research 16: 309-330.
    • (2007) Statistical Methods in Medical Research , vol.16 , pp. 309-330
    • Didelez, V.1    Sheehan, N.A.2
  • 17
    • 0002529940 scopus 로고    scopus 로고
    • Polymake: A framework for analyzing convex polytopes
    • In, ed. G. Kalai and G. M. Ziegler, Basil, Switzerland: Birkḧauser
    • Gawrilow, E., and M. Joswig. 2000. polymake: A framework for analyzing convex polytopes. In Polytopes-Combinatorics and Computation, ed. G. Kalai and G. M. Ziegler, 43-74. Basil, Switzerland: Birkḧauser.
    • (2000) Polytopes-Combinatorics and Computation , pp. 43-74
    • Gawrilow, E.1    Joswig, M.2
  • 18
    • 0033853460 scopus 로고    scopus 로고
    • An introduction to instrumental variables for epidemiologists
    • Greenland, S. 2000. An introduction to instrumental variables for epidemiologists. International Journal of Epidemiology 29: 722-729.
    • (2000) International Journal of Epidemiology , vol.29 , pp. 722-729
    • Greenland, S.1
  • 19
    • 0001566850 scopus 로고
    • Identification and estimation of local average treatment effects
    • Imbens, G. W., and J. D. Angrist. 1994. Identification and estimation of local average treatment effects. Econometrica 62: 467-475.
    • (1994) Econometrica , vol.62 , pp. 467-475
    • Imbens, G.W.1    Angrist, J.D.2
  • 20
    • 40849083720 scopus 로고    scopus 로고
    • Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology
    • Lawlor, D. A., R. M. Harbord, J. A. C. Sterne, N. Timpson, and G. Davey Smith. 2008. Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology. Statistics in Medicine 27: 1133-1163.
    • (2008) Statistics in Medicine , vol.27 , pp. 1133-1163
    • Lawlor, D.A.1    Harbord, R.M.2    Sterne, J.A.C.3    Timpson, N.4    Davey Smith, G.5
  • 21
    • 0000770002 scopus 로고
    • Nonparametric bounds on treatment effects
    • Manski, C. F. 1990. Nonparametric bounds on treatment effects. American Economic Review 80: 319-323.
    • (1990) American Economic Review , vol.80 , pp. 319-323
    • Manski, C.F.1
  • 24
    • 0010757113 scopus 로고
    • On the testability of causal models with latent and instrumental variables
    • In, ed. P. Besnard and S. Hanks, San Francisco: Morgan Kaufmann
    • Pearl, J. 1995a. On the testability of causal models with latent and instrumental variables. In Uncertainty in Artificial Intelligence, ed. P. Besnard and S. Hanks, vol. 11, 435-443. San Francisco: Morgan Kaufmann.
    • (1995) Uncertainty in Artificial Intelligence , vol.11 , pp. 435-443
    • Pearl, J.1
  • 25
    • 0029412006 scopus 로고
    • Causal inference from indirect experiments
    • Pearl, J. 1995b. Causal inference from indirect experiments. Artificial Intelligence in Medicine 7: 561-582.
    • (1995) Artificial Intelligence in Medicine , vol.7 , pp. 561-582
    • Pearl, J.1
  • 29
    • 82255183920 scopus 로고    scopus 로고
    • Likelihood analysis of the binary instrumental variable model
    • Forthcoming
    • Ramsahai, R. R., and S. L. Lauritzen. Forthcoming. Likelihood analysis of the binary instrumental variable model. Biometrika.
    • Biometrika
    • Ramsahai, R.R.1    Lauritzen, S.L.2
  • 30
    • 80053941612 scopus 로고    scopus 로고
    • Analysis of the binary instrumental variable model
    • In, ed. R. Dechter, H. Geffner, and J. Y. Halpern, London: College Publications
    • Richardson, T. S., and J. M. Robins. 2010. Analysis of the binary instrumental variable model. In Heuristics, Probability and Causality: A Tribute to Judea Pearl, ed. R. Dechter, H. Geffner, and J. Y. Halpern, 415-444. London: College Publications.
    • (2010) Heuristics, Probability and Causality: A Tribute to Judea Pearl , pp. 415-444
    • Richardson, T.S.1    Robins, J.M.2
  • 31
    • 0002596470 scopus 로고
    • The analysis of randomized and non-randomized AIDS treatment trials using a new approach to causal inference in longitudinal studies
    • In, ed. L. Sechrest, H. Freeman, and A. Mulley. Washington, DC: U.S. Public Health Service
    • Robins, J. 1989. 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.1
  • 32
    • 58149417330 scopus 로고
    • Estimating causal effects of treatments in randomised and nonrandomised studies
    • Rubin, D. B. 1974. Estimating causal effects of treatments in randomised and nonrandomised studies. Journal of Educational Psychology 66: 688-701.
    • (1974) Journal of Educational Psychology , vol.66 , pp. 688-701
    • Rubin, D.B.1
  • 33
    • 0002531157 scopus 로고
    • Bayesian inference for causal effects: The role of randomization
    • Rubin, D. B. 1978. Bayesian inference for causal effects: The role of randomization. Annals of Statistics 6: 34-58.
    • (1978) Annals of Statistics , vol.6 , pp. 34-58
    • Rubin, D.B.1
  • 34
    • 0022598217 scopus 로고
    • Impact of vitamin A supplementation on childhood mortality: A randomised controlled community trial
    • and The Aceh Study Group
    • Sommer, A., E. Djunaedi, A. A. Loeden, I. Tarwotjo, K. P. West, R. Tilden, L. Mele, and The Aceh Study Group. 1986. Impact of vitamin A supplementation on childhood mortality: A randomised controlled community trial. Lancet 327: 1169-1173.
    • (1986) Lancet , vol.327 , pp. 1169-1173
    • Sommer, A.1    Djunaedi, E.2    Loeden, A.A.3    Tarwotjo, I.4    West, K.P.5    Tilden, R.6    Mele, L.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.