Using survival information in truncation by death problems without the monotonicity assumption

Author:

Yang Fan1ORCID,Ding Peng2

Affiliation:

1. Department of Biostatistics and InformaticsUniversity of Colorado DenverAuroraColorado 80045U.S.A.

2. Department of StatisticsUniversity of CaliforniaBerkeleyCalifornia 94720U.S.A.

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Time‐to‐event estimands and loss to follow‐up in oncology in light of the estimands guidance;Pharmaceutical Statistics;2024-03-29

2. Matching methods for truncation by death problems;Journal of the Royal Statistical Society Series A: Statistics in Society;2023-03-15

3. Peng Ding's contribution to the Discussion of ‘Experimental evaluation of algorithm-assisted human decision-making: application to pretrial public safety assessment’ by Imai et al.;Journal of the Royal Statistical Society Series A: Statistics in Society;2023-02-13

4. Conditional Separable Effects;Journal of the American Statistical Association;2022-07-08

5. Identification of Causal Effects Within Principal Strata Using Auxiliary Variables;Statistical Science;2021-11-01

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