Dynamic Programming for Response-Adaptive Dose-Finding Clinical Trials
From MaRDI portal
Publication:5086016
DOI10.1287/ijoc.2021.1082OpenAlexW3211300254MaRDI QIDQ5086016
Amir Ali Nasrollahzadeh, Amin Khademi
Publication date: 30 June 2022
Published in: INFORMS Journal on Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1287/ijoc.2021.1082
Cites Work
- Unnamed Item
- Multi-armed bandit models for the optimal design of clinical trials: benefits and challenges
- Response-adaptive designs for clinical trials: simultaneous learning from multiple patients
- Bayesian forecasting and dynamic models.
- Bayesian learning of dose-response parameters from a cohort under response-guided dosing
- Bayesian look ahead one-stage sampling allocations for selection of the best population
- The Knowledge-Gradient Policy for Correlated Normal Beliefs
- Consistency of Sequential Bayesian Sampling Policies
- Optimal Designs for Dose-Finding Studies
- A Bayesian Approach to Dose-Response Assessment and Synergy and Its Application to In Vitro Dose-Response Studies
- Covariate-adjusted response-adaptive randomization for multi-arm clinical trials using a modified forward looking Gittins index rule
- An Introduction to Optimal Designs for Social and Biomedical Research
- A Knowledge-Gradient Policy for Sequential Information Collection
- DATA AUGMENTATION AND DYNAMIC LINEAR MODELS
- A Bayesian Decision Theoretic Model of Sequential Experimentation with Delayed Response
- Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials
This page was built for publication: Dynamic Programming for Response-Adaptive Dose-Finding Clinical Trials