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Volumn 22, Issue 4, 2007, Pages 544-559

Comment: Performance of double-robust estimators when "Inverse Probability" weights are highly variable

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EID: 46249085099     PISSN: 08834237     EISSN: None     Source Type: Journal    
DOI: 10.1214/07-STS227D     Document Type: Note
Times cited : (365)

References (15)
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    • (2005) Biometrics , vol.61 , pp. 962-972
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  • 2
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    • ROBINS, J. M. (2000). Robust estimation in sequentially ignorable missing data and casual inference models. Proc. Amer. Statist. Assoc. Section on Bayesian Statistical Science 1999 6-10.
    • ROBINS, J. M. (2000). Robust estimation in sequentially ignorable missing data and casual inference models. Proc. Amer. Statist. Assoc. Section on Bayesian Statistical Science 1999 6-10.
  • 3
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    • Commentary on "Using inverse weighting and predictive inference to estimate the effects of time-varying treatments on the discrete-time hazard", by Dawson, and Lavori
    • ROBINS, J. M. (2002). Commentary on "Using inverse weighting and predictive inference to estimate the effects of time-varying treatments on the discrete-time hazard", by Dawson, and Lavori. Statistics in Medicine 21 1663-1680.
    • (2002) Statistics in Medicine , vol.21 , pp. 1663-1680
    • ROBINS, J.M.1
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    • ROBINS, J. M. and ROTNITZKY, A. (2001). Comment on Inference for semiparametric models: Some questions and an answer, by P. J. Bickel and J. Kwon. Statist. Sinica 11 920-936. MR1867326
    • ROBINS, J. M. and ROTNITZKY, A. (2001). Comment on "Inference for semiparametric models: Some questions and an answer," by P. J. Bickel and J. Kwon. Statist. Sinica 11 920-936. MR1867326
  • 5
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    • Inference for imputation estimators
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    • ROBINS, J. M. and WANG, N. (2000). Inference for imputation estimators. Biometrika 87 113-124. MR1766832
    • (2000) Biometrika , vol.87 , pp. 113-124
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  • 6
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    • 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
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  • 8
    • 49749101498 scopus 로고    scopus 로고
    • Double-robustness with improved efficiency in missing and causal inference models
    • Technical report, Harvard School of Public Health
    • ROBINS, J. M., SUED, M., LEI-GOMEZ, Q. and ROTNITZKY, A. (2007). Double-robustness with improved efficiency in missing and causal inference models. Technical report, Harvard School of Public Health.
    • (2007)
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  • 9
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    • ROSENBAUM, P. R. (2002). Observational Studies, 2nd ed. Springer, New York. MR1899138
    • ROSENBAUM, P. R. (2002). Observational Studies, 2nd ed. Springer, New York. MR1899138
  • 10
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    • Adjusting for nonignorable drop-out using semiparametric non-response models (with discussion)
    • MR1731478
    • SCHARFSTEIN, D. O., ROTNITZKY, A. and ROBINS, J. M. (1999). Adjusting for nonignorable drop-out using semiparametric non-response models (with discussion). J. Amer. Statist. Assoc. 94 1096-1146. MR1731478
    • (1999) J. Amer. Statist. Assoc , vol.94 , pp. 1096-1146
    • SCHARFSTEIN, D.O.1    ROTNITZKY, A.2    ROBINS, J.M.3
  • 11
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    • A distributional approach for causal inference using propensity scores
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    • TAN, Z. (2006). A distributional approach for causal inference using propensity scores. J. Amer. Statist. Assoc. 101 1619-1637. MR2279484
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  • 12
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    • VAN DER LAAN, M. J. and ROBINS, J. M. (2003). Unified Methods for Censored Longitudinal Data and Causality. Springer, New York. MR1958123
    • VAN DER LAAN, M. J. and ROBINS, J. M. (2003). Unified Methods for Censored Longitudinal Data and Causality. Springer, New York. MR1958123


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.