Stochastic approximation and modern model-based designs for dose-finding clinical trials
From MaRDI portal
Publication:903289
DOI10.1214/10-STS334zbMath1328.62585arXiv1011.6240WikidataQ37825427 ScholiaQ37825427MaRDI QIDQ903289
Publication date: 5 January 2016
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1011.6240
coherenceunbiasednessethicsdichotomized datadiscrete barrierindifference intervalmaximum likelihood recursionvirtual observations
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian problems; characterization of Bayes procedures (62C10) Medical applications (general) (92C50) Stochastic approximation (62L20)
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Cites Work
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- Continual Reassessment Method: A Practical Design for Phase 1 Clinical Trials in Cancer
- Approximate policy optimization and adaptive control in regression models
- Continual reassessment and related dose-finding designs
- Dose finding with escalation with overdose control (EWOC) in cancer clinical trials
- Bayesian models and decision algorithms for complex early phase clinical trials
- Approximate dynamic programming and its applications to the design of Phase I cancer trials
- Adaptive design and stochastic approximation
- Optimal Bayesian-feasible dose escalation for cancer phase I trials
- On the Use of Nonparametric Curves in Phase I Trials with Low Toxicity Tolerance
- A Simple Technique to Evaluate Model Sensitivity in the Continual Reassessment Method
- Dose-Finding with Two Agents in Phase I Oncology Trials
- Bayesian Optimal Designs for Phase I Clinical Trials
- Sequential Designs in Bioassay
- Design and Analysis of Phase I Clinical Trials
- Coherence principles in dose-finding studies
- Sequential Implementation of Stepwise Procedures for Identifying the Maximum Tolerated Dose
- Efficient Sequential Designs With Binary Data
- Consistency of continual reassessment method under model misspecification
- A Random Walk Rule for Phase I Clinical Trials
- A Curve‐Free Method for Phase I Clinical Trials
- Sequential Designs for Phase I Clinical Trials with Late‐Onset Toxicities
- Stochastic approximation with virtual observations for dose-finding on discrete levels
- Asymptotic Distribution of Stochastic Approximation Procedures
- A Method for Obtaining and Analyzing Sensitivity Data
- Stochastic Estimation of the Maximum of a Regression Function
- A Stochastic Approximation Method
- Multidimensional Stochastic Approximation Methods
