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Statistical Science
Volumn 22, Issue 4, 2007, Pages 560-568
Comment: Understanding OR, PS and DR
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EID: 49749139766     PISSN: 08834237     EISSN: None     Source Type: Journal    
DOI: 10.1214/07-STS227A     Document Type: Review
Times cited : (105)
References (8)
  • 1
    • 49749105154 scopus 로고    scopus 로고
    • COCHRAN, W. G. (1977). Sampling Techniques, 3rd ed. Wiley New York. MR0474575
    • COCHRAN, W. G. (1977). Sampling Techniques, 3rd ed. Wiley New York. MR0474575
  • 2
    • 0000858149 scopus 로고    scopus 로고
    • On the role of the propensity score in efficient semiparametric estimation of average treatment effects
    • MR1612242
    • HAHN, J. (1998). On the role of the propensity score in efficient semiparametric estimation of average treatment effects. Econometrica 66 315-331. MR1612242
    • (1998) Econometrica , vol.66 , pp. 315-331
    • HAHN, J.1
  • 3
    • 49749120552 scopus 로고    scopus 로고
    • HAMMERSLEY, J. M. and HANDSCOMB, D. C. (1964). Monte Carlo Methods. Methuen, London. MR0223065
    • HAMMERSLEY, J. M. and HANDSCOMB, D. C. (1964). Monte Carlo Methods. Methuen, London. MR0223065
  • 4
    • 21844487694 scopus 로고
    • Semiparametric efficiency in multivariate regression models with missing data
    • MR1325119
    • ROBINS, J. M. and ROTNITZKY, A. (1995). Semiparametric efficiency in multivariate regression models with missing data. J. Amer. Statist. Assoc. 90 122-129. MR1325119
    • (1995) J. Amer. Statist. Assoc , vol.90 , pp. 122-129
    • ROBINS, J.M.1    ROTNITZKY, A.2
  • 5
    • 84888862680 scopus 로고
    • Estimation of regression coefficients when some regressors are not always observed
    • MR1294730
    • ROBINS, J. M., ROTNITZKY, A. and ZHAO, L. P. (1994). Estimation of regression coefficients when some regressors are not always observed. J. Amer. Statist. Assoc. 89 846-866. MR1294730
    • (1994) J. Amer. Statist. Assoc , vol.89 , pp. 846-866
    • ROBINS, J.M.1    ROTNITZKY, A.2    ZHAO, L.P.3
  • 6
    • 84950421496 scopus 로고
    • Analysis of semiparametric regression models for repeated outcomes in the presence of missing data
    • MR1325118
    • ROBINS, J. M., ROTNITZKY, A. and ZHAO, L. P. (1995). Analysis of semiparametric regression models for repeated outcomes in the presence of missing data. J. Amer. Statist. Assoc. 90 106-121. MR1325118
    • (1995) J. Amer. Statist. Assoc , vol.90 , pp. 106-121
    • ROBINS, J.M.1    ROTNITZKY, A.2    ZHAO, L.P.3
  • 7
    • 77951622706 scopus 로고
    • The central role of the propensity score in observational studies for causal effects
    • MR0742974
    • ROSENBAUM, P. R. and RUBIN, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika 70 41-55. MR0742974
    • (1983) Biometrika , vol.70 , pp. 41-55
    • ROSENBAUM, P.R.1    RUBIN, D.B.2
  • 8
    • 33846066470 scopus 로고    scopus 로고
    • A distributional approach for causal inference using propensity scores
    • MR2279484
    • TAN, Z. (2006). A distributional approach for causal inference using propensity scores. J. Amer. Statist. Assoc. 101 1619-1637. MR2279484
    • (2006) J. Amer. Statist. Assoc , vol.101 , pp. 1619-1637
    • TAN, Z.1

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.