References
- Atkinson, A. C. (1982). Optimum biased coin designs for sequential clinical trials with prognostic factors. Biometrika, 69(1), 61–67. https://doi.org/https://doi.org/10.1093/biomet/69.1.61
- Bugni, F. A., & Gao, M. (2021). Inference under covariate-adaptive randomization with imperfect compliance. arXiv:2102.03937.
- Fan, L., Yeatts, S. D., Wolf, B. J., McClure, L. A., Selim, M., & Palesch, Y. Y. (2018). The impact of covariate misclassification using generalized linear regression under covariate–adaptive randomization. Statistical Methods in Medical Research, 27(1), 20–34. https://doi.org/https://doi.org/10.1177/0962280215616405
- Hu, F., Hu, Y., Ma, Z., & Rosenberger, W. F. (2014). Adaptive randomization for balancing over covariates. Wiley Interdisciplinary Reviews: Computational Statistics, 6(4), 288–303. https://doi.org/https://doi.org/10.1002/wics.1309
- Hu, F., & Zhang, L. X. (2020). On the theory of covariate-adaptive designs. arXiv:2004.02994.
- Hu, Y., & Hu, F. (2012). Asymptotic properties of covariate-adaptive randomization. Annals of Statistics, 40(3), 1794–1815. https://doi.org/https://doi.org/10.1214/12-AOS983
- Li, X., Ma, W., & Hu, F. (2021). Sample size re-estimation for covariate-adaptive randomized clinical trials. Statistics in Medicine. https://doi.org/https://doi.org/10.1002/sim.8939
- Li, X., Zhou, J., & Hu, F. (2019). Testing hypotheses under adaptive randomization with continuous covariates in clinical trials. Statistical Methods in Medical Research, 28(6), 1609–1621. https://doi.org/https://doi.org/10.1177/0962280218770231
- Li, Y., Ma, W., Qin, Y., & Hu, F. (2020). Testing for treatment effect in covariate-adaptive randomized clinical trials with generalized linear models and omitted covariates. arXiv:2009.04136.
- Liu, H., Tu, F., & Ma, W. (2020). A general theory of regression adjustment for covariate-adaptive randomization: OLS, Lasso, and beyond. arXiv:2011.09734.
- Liu, Y., & Hu, F. (2020). Balancing unobserved covariates with covariate-adaptive randomized experiments. Journal of the American Statistical Association, in press. https://doi.org/https://doi.org/10.1080/01621459.2020.1825450
- Liu, Y., & Hu, F. (2021). The impact of unobserved covariates on covariate-adaptive randomized experiments. Working paper.
- Liu, Z., Ban, T., & Huang, T. (2017). General covariate-adaptive randomization targeting unequal allocation ratio. Journal of Statistical Planning and Inference, 191(2), 68–80. https://doi.org/https://doi.org/10.1016/j.jspi.2017.05.008
- Ma, W., Hu, F., & Zhang, L. X. (2015). Testing hypotheses of covariate-adaptive randomized clinical trials. Journal of the American Statistical Association, 110(510), 669–680. https://doi.org/https://doi.org/10.1080/01621459.2014.922469
- Ma, W., Qin, Y., Li, Y., & Hu, F. (2020). Statistical inference for covariate-adaptive randomization procedures. Journal of the American Statistical Association, 115(531), 1488–1497. https://doi.org/https://doi.org/10.1080/01621459.2019.1635483
- Ma, W., Tu, F., & Liu, H. (2020). Regression analysis for covariate-adaptive randomization: A robust and efficient inference perspective. arXiv:2009.02287.
- Ma, W., Wang, M., & Zhu, H. (2020). Seamless phase II/III clinical trials with covariate adaptive randomization. Statistica Sinica. https://doi.org/10.5705/ss.202019.0354.
- Qin, Y., Li, Y., Ma, W., & Hu, F. (2018). Pairwise sequential randomization and its properties. arXiv:1611.02802v2.
- Wang, B., Susukida, R., Mojtabai, R., Amin-Esmaeili, M., & Rosenblum, M. (2019). Model-robust inference for clinical trials that improve precision by stratified randomization and adjustment for additional baseline variables. arXiv:1910.13954.
- Wang, T., & Ma, W. (2020). The impact of misclassification on covariate-adaptive randomized clinical trials. Biometrics. https://doi.org/10.1111/biom.13308
- Zhu, H., & Hu, F. (2019). Sequential monitoring of covariate-adaptive randomized clinical trials. Statistica Sinica, 29(1), 265–282. https://doi.org/10.5705/ss.202016.0330.