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For: Lu X, Tsiatis AA. Semiparametric estimation of treatment effect with time-lagged response in the presence of informative censoring. Lifetime Data Anal 2011;17:566-593. [PMID: 21706378 PMCID: PMC3217309 DOI: 10.1007/s10985-011-9199-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2009] [Accepted: 06/11/2011] [Indexed: 05/30/2023]
Number Cited by Other Article(s)
1
Wang B, Du Y. Improving the mixed model for repeated measures to robustly increase precision in randomized trials. Int J Biostat 2023;0:ijb-2022-0101. [PMID: 38016707 DOI: 10.1515/ijb-2022-0101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 08/12/2023] [Indexed: 11/30/2023]
2
Tsiatis AA, Davidian M. Group sequential methods for interim monitoring of randomized clinical trials with time-lagged outcome. Stat Med 2022;41:5517-5536. [PMID: 36117235 PMCID: PMC9825950 DOI: 10.1002/sim.9580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 08/17/2022] [Accepted: 08/29/2022] [Indexed: 01/11/2023]
3
Williams N, Rosenblum M, Díaz I. Optimising precision and power by machine learning in randomised trials with ordinal and time-to-event outcomes with an application to COVID-19. JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A, (STATISTICS IN SOCIETY) 2022;185:RSSA12915. [PMID: 36246572 PMCID: PMC9539267 DOI: 10.1111/rssa.12915] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 05/23/2022] [Accepted: 07/05/2022] [Indexed: 05/23/2023]
4
Benkeser D, Díaz I, Luedtke A, Segal J, Scharfstein D, Rosenblum M. Improving precision and power in randomized trials for COVID-19 treatments using covariate adjustment, for binary, ordinal, and time-to-event outcomes. Biometrics 2021;77:1467-1481. [PMID: 32978962 PMCID: PMC7537316 DOI: 10.1111/biom.13377] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 09/01/2020] [Accepted: 09/15/2020] [Indexed: 12/31/2022]
5
Tsiatis AA, Davidian M, Holloway ST. Estimation of the odds ratio in a proportional odds model with censored time-lagged outcome in a randomized clinical trial. Biometrics 2021. [PMID: 34825704 DOI: 10.1111/biom.13603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 11/05/2021] [Accepted: 11/18/2021] [Indexed: 12/01/2022]
6
Wang B, Susukida R, Mojtabai R, Amin-Esmaeili M, Rosenblum M. Model-Robust Inference for Clinical Trials that Improve Precision by Stratified Randomization and Covariate Adjustment. J Am Stat Assoc 2021. [DOI: 10.1080/01621459.2021.1981338] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
7
Benkeser D, Díaz I, Luedtke A, Segal J, Scharfstein D, Rosenblum M. Improving Precision and Power in Randomized Trials for COVID-19 Treatments Using Covariate Adjustment, for Binary, Ordinal, and Time-to-Event Outcomes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2020:2020.04.19.20069922. [PMID: 32577668 PMCID: PMC7302221 DOI: 10.1101/2020.04.19.20069922] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
8
Díaz I, Colantuoni E, Hanley DF, Rosenblum M. Improved precision in the analysis of randomized trials with survival outcomes, without assuming proportional hazards. LIFETIME DATA ANALYSIS 2019;25:439-468. [PMID: 29492746 DOI: 10.1007/s10985-018-9428-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Accepted: 02/18/2018] [Indexed: 06/08/2023]
9
Wang B, Ogburn EL, Rosenblum M. Analysis of covariance in randomized trials: More precision and valid confidence intervals, without model assumptions. Biometrics 2019;75:1391-1400. [DOI: 10.1111/biom.13062] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 03/14/2019] [Indexed: 01/28/2023]
10
Rosenblum M, Wang B. The Critical Role of Statistical Analyses in Maximizing Power Gains From Covariate-Adaptive Trial Designs. JAMA Netw Open 2019;2:e190789. [PMID: 30977839 DOI: 10.1001/jamanetworkopen.2019.0789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
11
Sensitivity of adaptive enrichment trial designs to accrual rates, time to outcome measurement, and prognostic variables. Contemp Clin Trials Commun 2017;8:39-48. [PMID: 29696195 PMCID: PMC5898543 DOI: 10.1016/j.conctc.2017.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2016] [Revised: 04/19/2017] [Accepted: 08/11/2017] [Indexed: 11/21/2022]  Open
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