Nonmyopic and pseudo-nonmyopic approaches to optimal sequential design in the presence of covariates

DOI10.1080/00949655.2022.2113788arXiv2005.13261OpenAlexW3028932106MaRDI QIDQ6074140

Unnamed Author, Unnamed Author, Ilya Shpitser

Publication date: 19 September 2023

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2005.13261

zbMATH Keywords

design of experimentsdynamic programmingoptimal designsequential designcoordinate exchange

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Approximate dynamic programming and its applications to the design of Phase I cancer trials
• Handling covariates in the design of clinical trials
• Simulation-based sequential Bayesian design
• A weakly informative default prior distribution for logistic and other regression models
• A Bayesian adaptive design for clinical trials in rare diseases
• New adaptive designs for delayed response models
• Covariate-adjusted response-adaptive randomization for multi-arm clinical trials using a modified forward looking Gittins index rule
• Monitoring Accumulating Data in a Clinical Trial
• What you should know about approximate dynamic programming
• Optimum biased coin designs for sequential clinical trials with prognostic factors
• Bias reduction of maximum likelihood estimates
• Bayesian adaptive bandit-based designs using the Gittins index for multi-armed trials with normally distributed endpoints
• Optimal adaptive randomized designs for clinical trials

This page was built for publication: Nonmyopic and pseudo-nonmyopic approaches to optimal sequential design in the presence of covariates