References
- Efron, B. (1971). Forcing a sequential experiment to be balanced. Biometrika, 58(3), 403–417. https://doi.org/https://doi.org/10.1093/biomet/58.3.403
- Lin, Y., Zhu, M., & Su, Z. (2015). The pursuit of balance: an overview of covariate-adaptive randomization techniques in clinical trials. Contemporary Clinical Trials, 45, 21–25. https://doi.org/https://doi.org/10.1016/j.cct.2015.07.01110th Anniversary Special Issue.
- Lu, X., & Tsiatis, A. A. (2011). Semiparametric estimation of treatment effect with time-lagged response in the presence of informative censoring. Lifetime Data Analysis, 17(4), 566–593. https://doi.org/https://doi.org/10.1007/s10985-011-9199-8
- Moore, K. L., & van der Laan, M. J. (2009). Increasing power in randomized trials with right censored outcomes through covariate adjustment. Journal of Biopharmaceutical Statistics, 19(6), 1099–1131. https://doi.org/https://doi.org/10.1080/10543400903243017PMID: 20183467.
- Robins, J. M., Rotnitzky, A., & Zhao, L. P. (1994). Estimation of regression coefficients when some regressors are not always observed. Journal of the American Statistical Association, 89(427), 846–866. https://doi.org/https://doi.org/10.1080/01621459.1994.10476818
- Robins, J. M., Sued, M., Lei-Gomez, Q., & Rotnitzky, A. (2007). Comment: performance of double-robust estimators when inverse probability weights are highly variable. Statistical Science, 22(4), 544–559. https://doi.org/https://doi.org/10.1214/07-STS227D
- Scharfstein, D. O., Rotnitzky, A., & Robins, J. M. (1999). Adjusting for nonignorable drop-out using semiparametric nonresponse models. Journal of the American Statistical Association, 94(448), 1096–1120. https://doi.org/https://doi.org/10.1080/01621459.1999.10473862
- van der Laan, M. J., & Gruber, S. (2012). Targeted minimum loss based estimation of causal effects of multiple time point interventions. The International Journal of Biostatistics, 8(1), 9. https://doi.org/https://doi.org/10.1515/1557-4679.1370
- Wang, B., Susukida, R., Mojtabai, R., Amin-Esmaeili, M., & Rosenblum, M. (2020). Model-robust inference for clinical trials that improve precision by stratified randomization and adjustment for additional baseline variables. arXiv: 1910.13954v3.
- Zelen, M. (1974). The randomization and stratification of patients to clinical trials. Journal of Chronic Diseases, 27(7), 365–375. https://doi.org/https://doi.org/10.1016/0021-9681(74)90015-0
- Zhang, M. (2015). Robust methods to improve efficiency and reduce bias in estimating survival curves in randomized clinical trials. Lifetime Data Analysis, 21(1), 119–137. https://doi.org/https://doi.org/10.1007/s10985-014-9291-y