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Volumn 3, Issue 1, 2011, Pages 94-118

Defining the Study Population for an Observational Study to Ensure Sufficient Overlap: A Tree Approach

Author keywords

Observational study; Overlap; Propensity score

Indexed keywords

ALGORITHM; APACHE; ARTICLE; CLASSIFICATION; COVARIANCE; DATA ANALYSIS; HEART CATHETERIZATION; HOSPITAL ADMISSION; HUMAN; INTERNAL VALIDITY; JOB TRAINING; MINIMUM VARIANCE CRITERION; MISCLASSIFICATION RATE; NONPARAMETRIC TEST; OBSERVATIONAL STUDY; POPULATION RESEARCH; PRIORITY JOURNAL; PROPENSITY SCORE; STATISTICAL ANALYSIS; TRAINING; VARIANCE; WORK EXPERIENCE;

EID: 80053053789     PISSN: 18671764     EISSN: 18671772     Source Type: Journal    
DOI: 10.1007/s12561-011-9036-3     Document Type: Article
Times cited : (34)

References (26)
  • 1
    • 0347917301 scopus 로고    scopus 로고
    • Effects and non-effects of paired identical observations in comparing proportions with binary matched-pairs data
    • Agresti A, Min Y (2004) Effects and non-effects of paired identical observations in comparing proportions with binary matched-pairs data. Stat Med 23: 65-75.
    • (2004) Stat Med , vol.23 , pp. 65-75
    • Agresti, A.1    Min, Y.2
  • 2
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L (2001) Random forests. Mach Learn 45: 5-32.
    • (2001) Mach Learn , vol.45 , pp. 5-32
    • Breiman, L.1
  • 4
    • 0014297593 scopus 로고
    • The effectiveness of an adjustment by subclassification in removing bias in observational studies
    • Cochran WG (1968) The effectiveness of an adjustment by subclassification in removing bias in observational studies. Biometrics 24: 295-313.
    • (1968) Biometrics , vol.24 , pp. 295-313
    • Cochran, W.G.1
  • 5
    • 0000057576 scopus 로고
    • Controlling bias in observational studies: a review
    • Cochran WG, Rubin DB (1973) Controlling bias in observational studies: a review. Sankhya, Ser A 35: 417-446.
    • (1973) Sankhya, Ser A , vol.35 , pp. 417-446
    • Cochran, W.G.1    Rubin, D.B.2
  • 7
    • 60449086859 scopus 로고    scopus 로고
    • Dealing with limited overlap in estimation of average treatment effects
    • Crump R, Hotz VJ, Imbens G, Mitnik O (2009) Dealing with limited overlap in estimation of average treatment effects. Biometrika 96: 187-199.
    • (2009) Biometrika , vol.96 , pp. 187-199
    • Crump, R.1    Hotz, V.J.2    Imbens, G.3    Mitnik, O.4
  • 8
    • 0442309558 scopus 로고    scopus 로고
    • Causal effects in nonexperimental studies: re-evaluating the evaluation of training programs
    • Dehejia R, Wahba S (1999) Causal effects in nonexperimental studies: re-evaluating the evaluation of training programs. J Am Stat Assoc 94: 1053-1062.
    • (1999) J Am Stat Assoc , vol.94 , pp. 1053-1062
    • Dehejia, R.1    Wahba, S.2
  • 9
    • 0000858149 scopus 로고    scopus 로고
    • On the role of the propensity score in efficient semiparametric estimation of average treatment effects
    • Hahn J (1998) On the role of the propensity score in efficient semiparametric estimation of average treatment effects. Econometrica 66: 315-331.
    • (1998) Econometrica , vol.66 , pp. 315-331
    • Hahn, J.1
  • 10
    • 4944238507 scopus 로고    scopus 로고
    • Full matching in an observational study of coaching for the SAT
    • Hansen B (2004) Full matching in an observational study of coaching for the SAT. J Am Stat Assoc 99: 609-618.
    • (2004) J Am Stat Assoc , vol.99 , pp. 609-618
    • Hansen, B.1
  • 11
    • 42049085388 scopus 로고    scopus 로고
    • Optmatch
    • Hansen B (2007) Optmatch. R News 7: 18-24.
    • (2007) R News , vol.7 , pp. 18-24
    • Hansen, B.1
  • 13
    • 0141495120 scopus 로고    scopus 로고
    • Efficient estimation of average treatment effects using the estimated propensity score
    • Hirano K, Imbens G, Ridder G (2003) Efficient estimation of average treatment effects using the estimated propensity score. Econometrica 71: 1161-89.
    • (2003) Econometrica , vol.71 , pp. 1161-1189
    • Hirano, K.1    Imbens, G.2    Ridder, G.3
  • 14
    • 84947396376 scopus 로고
    • A generalization of sampling without replacement from a finite universe
    • Horvitz D, Thompson D (1952) A generalization of sampling without replacement from a finite universe. J Am Stat Assoc 46: 663-85.
    • (1952) J Am Stat Assoc , vol.46 , pp. 663-685
    • Horvitz, D.1    Thompson, D.2
  • 15
    • 1842429563 scopus 로고    scopus 로고
    • Nonparametric estimation of average treatment effects under exogeneity: a review
    • Imbens G (2004) Nonparametric estimation of average treatment effects under exogeneity: a review. Rev Econ Stat 86: 1-29.
    • (2004) Rev Econ Stat , vol.86 , pp. 1-29
    • Imbens, G.1
  • 16
    • 0001093804 scopus 로고
    • Evaluating the econometric evaluations of training programs with experimental data
    • LaLonde R (1986) Evaluating the econometric evaluations of training programs with experimental data. Am Econ Rev 76: 604-620.
    • (1986) Am Econ Rev , vol.76 , pp. 604-620
    • Lalonde, R.1
  • 17
    • 21844487694 scopus 로고
    • Semiparametric efficiency in multivariate regression models with missing data
    • Robins J, Rotnitzky A (1995) Semiparametric efficiency in multivariate regression models with missing data. J Am Stat Assoc 90: 122-129.
    • (1995) J Am Stat Assoc , vol.90 , pp. 122-129
    • Robins, J.1    Rotnitzky, A.2
  • 18
    • 74049161927 scopus 로고
    • Optimal matching in observational studies
    • Rosenbaum P (1989) Optimal matching in observational studies. J Am Stat Assoc 84: 1024-1032.
    • (1989) J Am Stat Assoc , vol.84 , pp. 1024-1032
    • Rosenbaum, P.1
  • 21
    • 80053054104 scopus 로고    scopus 로고
    • Optimal matching of an optimally chosen subset in observational studies
    • doi:10.1198/jcgs.2011.09219
    • Rosenbaum P (2011) Optimal matching of an optimally chosen subset in observational studies. J Comput Graph Stat. doi: 10. 1198/jcgs. 2011. 09219.
    • (2011) J Comput Graph Stat
    • Rosenbaum, P.1
  • 22
    • 77951622706 scopus 로고
    • The central role of the propensity score in observational studies for causal effects
    • Rosenbaum P, Rubin D (1983) The central role of the propensity score in observational studies for causal effects. Biometrika 70: 41-55.
    • (1983) Biometrika , vol.70 , pp. 41-55
    • Rosenbaum, P.1    Rubin, D.2
  • 23
    • 10044222268 scopus 로고    scopus 로고
    • Does matching overcome LaLonde's critique of nonexperimental estimators?
    • Smith J, Todd P (2005) Does matching overcome LaLonde's critique of nonexperimental estimators?. J Econom 125: 305-353.
    • (2005) J Econom , vol.125 , pp. 305-353
    • Smith, J.1    Todd, P.2
  • 24
    • 77957806232 scopus 로고    scopus 로고
    • Matching methods for causal inference: a review and a look forward
    • Stuart E (2010) Matching methods for causal inference: a review and a look forward. Stat Sci 25: 1-21.
    • (2010) Stat Sci , vol.25 , pp. 1-21
    • Stuart, E.1


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