Optimal utility-based design of oncology clinical development programmes

基于效用的肿瘤学临床开发项目的优化设计

• 批准号: 2734768
• 金额: --
• 依托单位: University of Warwick
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2026
• 资助国家: 英国
• 起止时间: 2026 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2734768
• 关键词: Optimal; utility; based; design; oncology

This project aims at developing a probabilistic framework for comparing sequences of clinical trial designs in oncology. Its main objective is to provide a practical method for improving efficiency of clinical development programmes, on behalf of current and future oncology patients. This project consists of three parts, focussing in on the development of probabilistic models for clinical trial endpoints relevant to early and late phase trials and on the derivation of survival statistics maximising patient utility. The probability of success and expected utility of alternative clinical development strategies will be compared using the developed models. Probabilistic dynamic programming will be leveraged to define mechanisms for updating clinical development strategies as data become available over time. The unique combination of expertise made available through this project will provide the sponsored student with an ideal set of skills relevant to develop a career in academic or industrial research and development settings.

该项目旨在开发一个概率框架来比较肿瘤学临床试验设计的序列。其主要目标是为当前和未来的肿瘤患者提供一种提高临床开发计划效率的实用方法。该项目由三个部分组成，重点是开发与早期和后期试验相关的临床试验终点的概率模型，以及导出生存统计数据以最大化患者效用。将使用开发的模型来比较替代临床开发策略的成功概率和预期效用。随着数据随时间推移变得可用，将利用概率动态规划来定义更新临床开发策略的机制。通过该项目提供的独特的专业知识组合将为受资助的学生提供一套与在学术或工业研究和开发环境中发展职业相关的理想技能。