Multi-arm covariate-adaptive randomization
DOI10.1007/s11425-020-1954-yOpenAlexW4288730979MaRDI QIDQ2679072
Xiaoqing Ye, Fei-fang Hu, Zhang, Lixin
Publication date: 18 January 2023
Published in: Science China. Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11425-020-1954-y
Markov chainclinical trialmarginal balancebalancing covariateHu and Hu's general proceduremultiple treatmentPocock and Simon's procedurestratified permuted block design
Nonparametric hypothesis testing (62G10) Sampling theory, sample surveys (62D05) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Response surface designs (62K20)
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Cites Work
- Markov chains and stochastic stability
- Asymptotic properties of covariate-adaptive randomization
- Efficient randomized-adaptive designs
- Exact properties of Efron's biased coin randomization procedure
- An adaptive design for multi-arm clinical trials
- Asymptotic properties of doubly adaptive biased coin designs for multitreatment clinical trials.
- Asymptotic theorems of sequential estimation-adjusted urn models
- Asymptotic properties of covariate-adjusted response-adaptive designs
- Covariate-adjusted response-adaptive randomization for multi-arm clinical trials using a modified forward looking Gittins index rule
- Inference Under Covariate-Adaptive Randomization
- A theory for testing hypotheses under covariate-adaptive randomization
- Sequential Monitoring of Covariate-Adaptive Randomized Clinical Trials
- Statistical Inference for Covariate-Adaptive Randomization Procedures
- Inference under covariate‐adaptive randomization with multiple treatments
- Implementing Optimal Allocation in Sequential Binary Response Experiments
- Testing Hypotheses of Covariate-Adaptive Randomized Clinical Trials
- The Theory of Response‐Adaptive Randomization in Clinical Trials
- Forcing a sequential experiment to be balanced
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