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Doubly-Robust Estimators of Treatment-Specific Survival Distributions in Observational Studies with Stratified Sampling

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  • Xiaofei Bai
  • Anastasios A. Tsiatis
  • Sean M. O'Brien

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  • Xiaofei Bai & Anastasios A. Tsiatis & Sean M. O'Brien, 2013. "Doubly-Robust Estimators of Treatment-Specific Survival Distributions in Observational Studies with Stratified Sampling," Biometrics, The International Biometric Society, vol. 69(4), pages 830-839, December.
    • Handle: RePEc:bla:biomet:v:69:y:2013:i:4:p:830-839
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    File URL: http://hdl.handle.net/10.1111/biom.12076
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    References listed on IDEAS

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    1. Mark, Steven D. & Katki, Hormuzd A., 2006. "Specifying and Implementing Nonparametric and Semiparametric Survival Estimators in Two-Stage (Nested) Cohort Studies With Missing Case Data," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 460-471, June.
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    Cited by:

    1. Xiaofei Bai & Anastasios A. Tsiatis & Wenbin Lu & Rui Song, 2017. "Optimal treatment regimes for survival endpoints using a locally-efficient doubly-robust estimator from a classification perspective," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(4), pages 585-604, October.
    2. Layla Parast & Beth Ann Griffin, 2017. "Landmark estimation of survival and treatment effects in observational studies," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(2), pages 161-182, April.
    3. Xiaofei Bai & Anastasios A. Tsiatis, 2016. "A log rank type test in observational survival studies with stratified sampling," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 22(2), pages 280-298, April.
    4. Ran Dai & Cheng Zheng & Mei-Jie Zhang, 2023. "On High-Dimensional Covariate Adjustment for Estimating Causal Effects in Randomized Trials with Survival Outcomes," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 15(1), pages 242-260, April.
    5. Dana Johnson & Wenbin Lu & Marie Davidian, 2023. "A general framework for subgroup detection via one‐step value difference estimation," Biometrics, The International Biometric Society, vol. 79(3), pages 2116-2126, September.
    6. Manda, Julius & Khonje, Makaiko G. & Alene, Arega D. & Tufa, Adane H & Abdoulaye, Tahirou & Mutenje, Munyaradzi & Setimela, Peter & Manyong, Victor, 2020. "Does cooperative membership increase and accelerate agricultural technology adoption? Empirical evidence from Zambia," Technological Forecasting and Social Change, Elsevier, vol. 158(C).

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