Trial reportStatistical methods in medical research2022
A Bayesian phase I/II biomarker-based design for identifying subgroup-specific optimal dose for immunotherapy.
Trial report in Statistical methods in medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A Bayesian phase I/II design to determine subgroup-specific optimal dose for immunotherapy sequentially combined with radiotherapy.Pharmaceutical statistics · 2023Trial
- A Biomarker-Based Dose-Schedule Optimization Design for Immunotherapy Trials.Statistics in medicine · 2026Article
- A model-free phase I/II dose optimization design for immunotherapy trials.Statistical methods in medical research · 2025Article
- Commentary: EDFrontiers in medicine · 2025Article
- Adaptive phase I-II clinical trial designs identifying optimal biological doses for targeted agents and immunotherapies.Clinical trials (London, England) · 2024Review
- Adaptive Bayesian information borrowing methods for finding and optimizing subgroup-specific doses.Clinical trials (London, England) · 2024Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Immunotherapy is an innovative treatment that enlists the patient's immune system to battle tumors. The optimal dose for treating patients with an immunotherapeutic agent may differ according to their biomarker status. In this article, we propose a biomarker-based phase I/II dose-finding design for identifying subgroup-specific optimal dose for immunotherapy (BSOI) that jointly models the immune response, toxicity, and efficacy outcomes. We propose parsimonious yet flexible models to borrow information across different types of outcomes and subgroups. We quantify the desirability of the dose using a utility function and adopt a two-stage dose-finding algorithm to find the optimal dose for each subgroup. Simulation studies show that the BSOI design has desirable operating characteristics in selecting the subgroup-specific optimal doses and allocating patients to those optimal doses, and outperforms conventional designs.
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