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Theory and Methods

Testing Hypotheses of Covariate-Adaptive Randomized Clinical Trials

Pages 669-680 | Received 01 Sep 2013, Published online: 06 Jul 2015

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Wei Ma, Ping Li, Li-Xin Zhang & Feifang Hu. (2024) A New and Unified Family of Covariate Adaptive Randomization Procedures and Their Properties. Journal of the American Statistical Association 119:545, pages 151-162.
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Ting Ye, Jun Shao, Yanyao Yi & Qingyuan Zhao. (2023) Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials. Journal of the American Statistical Association 118:544, pages 2370-2382.
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Victoria P. Johnson, Michael Gekhtman & Olga M. Kuznetsova. (2023) Validity of Tests for Time-to-Event Endpoints in Studies with the Pocock and Simon Covariate-Adaptive Randomization. Statistics in Biopharmaceutical Research 0:0, pages 1-15.
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Bingkai Wang, Ryoko Susukida, Ramin Mojtabai, Masoumeh Amin-Esmaeili & Michael Rosenblum. (2023) Model-Robust Inference for Clinical Trials that Improve Precision by Stratified Randomization and Covariate Adjustment. Journal of the American Statistical Association 118:542, pages 1152-1163.
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Yang Liu & Feifang Hu. (2022) Balancing Unobserved Covariates With Covariate-Adaptive Randomized Experiments. Journal of the American Statistical Association 117:538, pages 875-886.
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Wei Ma, Li-Xin Zhang & Feifang Hu. (2021) Comment on ‘Inference after covariate-adaptive randomisation: aspects of methodology and theory’. Statistical Theory and Related Fields 5:3, pages 187-189.
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Jun Shao. (2021) Rejoinder on ‘Inference after covariate-adaptive randomization: aspects of methodology and theory’. Statistical Theory and Related Fields 5:3, pages 196-199.
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Jun Shao. (2021) Inference after covariate-adaptive randomisation: aspects of methodology and theory. Statistical Theory and Related Fields 5:3, pages 172-186.
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Wei Ma, Yichen Qin, Yang Li & Feifang Hu. (2020) Statistical Inference for Covariate-Adaptive Randomization Procedures. Journal of the American Statistical Association 115:531, pages 1488-1497.
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Ting Ye. (2018) Testing hypotheses under covariate-adaptive randomisation and additive models. Statistical Theory and Related Fields 2:1, pages 96-101.
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Jun Wang & Yahe Yu. (2023) Improved estimation of average treatment effects under covariate‐adaptive randomization methods. Statistica Neerlandica 78:2, pages 310-333.
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Alessandro Baldi Antognini, Rosamarie Frieri, Maroussa Zagoraiou & Marco Novelli. (2022) The Efficient Covariate-Adaptive Design for high-order balancing of quantitative and qualitative covariates. Statistical Papers 65:1, pages 19-44.
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Guogen Shan, Carolee Dodge Francis, Jingxia Liu, Xuan Hong & Charles Bernick. 2024. Modern Inference Based on Health-Related Markers. Modern Inference Based on Health-Related Markers 229 243 .
Elisabeth Coart, Perrine Bamps, Emmanuel Quinaux, Geneviève Sturbois, Everardo D. Saad, Tomasz Burzykowski & Marc Buyse. (2023) Minimization in randomized clinical trials. Statistics in Medicine 42:28, pages 5285-5311.
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Yujia Gu, Hanzhong Liu & Wei Ma. (2023) Regression-Based Multiple Treatment Effect Estimation under Covariate-Adaptive Randomization. Biometrics 79:4, pages 2869-2880.
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Jingshen Wang & Xuming He. (2023) Subgroup analysis and adaptive experiments crave for debiasing. WIREs Computational Statistics 15:6.
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Yang Liu & Feifang Hu. (2023) The impacts of unobserved covariates on covariate-adaptive randomized experiments. The Annals of Statistics 51:5.
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Zhongqiang Liu & Xi Wang. (2023) Model-based adaptive randomization procedures for heteroscedasticity of treatment responses. Statistical Methods in Medical Research 32:7, pages 1361-1376.
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Liang Jiang, Peter C.B. Phillips, Yubo Tao & Yichong Zhang. (2023) Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations. Journal of Econometrics 234:2, pages 758-776.
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Hanzhong Liu, Fuyi Tu & Wei Ma. (2023) Lasso-adjusted treatment effect estimation under covariate-adaptive randomization. Biometrika 110:2, pages 431-447.
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Feifang Hu, Xiaoqing Ye & Li-Xin Zhang. (2022) Multi-arm covariate-adaptive randomization. Science China Mathematics 66:1, pages 163-190.
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Wei Ma, Fuyi Tu & Hanzhong Liu. (2022) Regression analysis for covariate‐adaptive randomization: A robust and efficient inference perspective. Statistics in Medicine 41:29, pages 5645-5661.
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Yiping Yang, Hongjian Zhu & Dejian Lai. (2022) Estimation of hurst exponent for sequential monitoring of clinical trials with covariate adaptive randomization. Contemporary Clinical Trials 120, pages 106887.
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Ting Ye, Yanyao Yi & Jun Shao. (2022) Inference on the average treatment effect under minimization and other covariate-adaptive randomization methods. Biometrika 109:1, pages 33-47.
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Wanying Zhao, Wei Ma, Fan Wang & Feifang Hu. (2021) Incorporating covariates information in adaptive clinical trials for precision medicine. Pharmaceutical Statistics 21:1, pages 176-195.
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Yang Li, Wei Ma, Yichen Qin & Feifang Hu. (2021) Testing for treatment effect in covariate-adaptive randomized trials with generalized linear models and omitted covariates. Statistical Methods in Medical Research 30:9, pages 2148-2164.
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Yiping Yang, Hongjian Zhu & Dejian Lai. (2021) Estimating Conditional Power for Sequential Monitoring of Covariate Adaptive Randomized Designs: The Fractional Brownian Motion Approach. Fractal and Fractional 5:3, pages 114.
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Tong Wang & Wei Ma. (2020) The impact of misclassification on covariate‐adaptive randomized clinical trials. Biometrics 77:2, pages 451-464.
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Xin Li, Wei Ma & Feifang Hu. (2021) Sample size re‐estimation for covariate‐adaptive randomized clinical trials. Statistics in Medicine 40:12, pages 2839-2858.
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Andrea Callegaro, B S Harsha Shree & Naveen Karkada. (2021) Inference under covariate-adaptive randomization: A simulation study. Statistical Methods in Medical Research 30:4, pages 1072-1080.
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Jun Yu & Dejian Lai. (2019) Sequential monitoring of covariate adaptive randomized clinical trials with sample size re-estimation. Contemporary Clinical Trials 87, pages 105874.
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Xiaoming Li, Jianhui Zhou & Feifang Hu. (2018) Testing hypotheses under adaptive randomization with continuous covariates in clinical trials. Statistical Methods in Medical Research 28:6, pages 1609-1621.
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Zhongqiang Liu, Tao Ban & Tao Huang. (2017) General covariate-adaptive randomization targeting unequal allocation ratio. Journal of Statistical Planning and Inference 191, pages 68-80.
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Zhongqiang Liu. (2017) Balancing treatment assignment over all observed covariates in clinical trials. Journal of the Korean Statistical Society 46:2, pages 208-218.
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Alessandro Baldi Antognini & Maroussa Zagoraiou. (2017) Estimation accuracy under covariate-adaptive randomization procedures. Electronic Journal of Statistics 11:1.
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Xiaolong Luo, Mingyu Li, Gongjun Xu & Dongsheng Tu. (2016) Survival analysis following dynamic randomization. Contemporary Clinical Trials Communications 3, pages 39-47.
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Zhenzhen XuMichael ProschanShiowjen Lee. (2016) Validity and power considerations on hypothesis testing under minimization. Statistics in Medicine 35:14, pages 2315-2327.
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Yanqing Hu. (2016) Generalized Efron's biased coin design and its theoretical properties. Journal of Applied Probability 53:2, pages 327-340.
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Liang Jiang, Peter C. B. Phillips, Yubo Tao & Yichong Zhang. (2021) Regression-Adjusted Estimation of Quantile Treatment Effects under Covariate-Adaptive Randomizations. SSRN Electronic Journal.
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