Comparison of treatments with ordinal responses in trials with sequential monitoring and response-adaptive randomization
From MaRDI portal
Publication:6629355
DOI10.1002/sim.9554zbMATH Open1547.62545MaRDI QIDQ6629355
Siu Hung Cheung, Junjiang Zhong, Cong Xu, Yian Yu
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
interim analysisordinal response\( \alpha \)-spending functiondoubly biased coin designlatent Weibull model
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A unified framework for the comparison of treatments with ordinal responses
- Sequential monitoring of response-adaptive randomized clinical trials
- The doubly adaptive biased coin design for sequential clinical trials
- Group sequential designs for one-sided and two-sided hypothesis testing with provision for early stopping in favor of the null hypothesis
- Multiple comparisons of treatments with skewed ordinal responses
- Asymptotic properties of doubly adaptive biased coin designs for multitreatment clinical trials.
- Central limit theorems for doubly adaptive biased coin designs
- Sequential monitoring of response-adaptive randomized clinical trials with sample size re-estimation
- Statistical monitoring of clinical trials. A unified approach.
- Asymptotic properties of covariate-adjusted response-adaptive designs
- Group Sequential and Confirmatory Adaptive Designs in Clinical Trials
- Discrete Sequential Boundaries for Clinical Trials
- Optimality, Variability, Power
- Sequential Monitoring of Covariate-Adaptive Randomized Clinical Trials
- Adaptive treatment allocation for comparative clinical studies with recurrent events data
- Implementing Optimal Allocation in Sequential Binary Response Experiments
- The Theory of Response‐Adaptive Randomization in Clinical Trials
- Response-Adaptive Randomization for Survival Trials: The Parametric Approach
- Tests on asymmetry for ordered categorical variables
This page was built for publication: Comparison of treatments with ordinal responses in trials with sequential monitoring and response-adaptive randomization