期刊论文Group sequential design with posterior and posterior predictive probabilities复制

DOI:复制

文献链接: https://doi.org/10.48550/arXiv.2504.00856复制

其他信息:

L Hagar, S Golchi, MB Klein
arXiv preprint arXiv:2504.00856, 2025
arxiv.org
Group sequential designs drive innovation in clinical, industrial, and corporate settings. Early stopping for failure in sequential designs conserves experimental resources, whereas early stopping for success accelerates access to improved interventions. Bayesian decision procedures provide a formal and intuitive framework for early stopping using posterior and posterior predictive probabilities. Design parameters including decision thresholds and sample sizes are chosen to control the error probabilities associated with the sequential …