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Sean M. OBrien

Personal Details

First Name:Sean
Middle Name:M.
Last Name:OBrien
Suffix:
RePEc Short-ID:pob48
[This author has chosen not to make the email address public]

Affiliation

Economics Department
University of California-Davis

Davis, California (United States)
http://www.econ.ucdavis.edu/
RePEc:edi:educdus (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. 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.

Citations

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Articles

  1. 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.

    Cited by:

    1. 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).
    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. Dana Johnson & Wenbin Lu & Marie Davidian, 2023. "A general framework for subgroup detection via oneā€step value difference estimation," Biometrics, The International Biometric Society, vol. 79(3), pages 2116-2126, September.
    4. 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.
    5. 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.
    6. 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.

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