Nature-inspired metaheuristics for optimizing dose-finding and computationally challenging clinical trial designs...University of Pennsylvania 16th Annual Conference on Statistical Issues in Clinical Trials, April 8, 2024, Philadelphia, Pennsylvania
Metaheuristics are commonly used in computer science and engineering to solve optimization problems, but their potential applications in clinical trial design have remained largely unexplored. This article provides a brief overview of metaheuristics and reviews their limited use in clinical trial se...
| Published in: | Clinical Trials Vol. 22; no. 4; pp. 422 - 430 |
|---|---|
| Main Authors: | , , , , , , , |
| Format: | equations & formulas proceedings tables/charts Journal Article |
| Published: |
Sage Publications, Ltd.
Aug2025
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187099426&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187099426 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17407745 AB6 jtl: Clinical Trials issn: 17407745 maglogo: N pubinfo: dt: Aug2025 vid: 22 iid: 4 pid: 33180 pub: Sage Publications, Ltd. place: <Blank> artinfo: ui: 187099426 186561247 187099426 187099426 10.1177/17407745251346396 187099426 ppf: 422 ppct: 8 formats: tig: atl: Nature-inspired metaheuristics for optimizing dose-finding and computationally challenging clinical trial designs...University of Pennsylvania 16th Annual Conference on Statistical Issues in Clinical Trials, April 8, 2024, Philadelphia, Pennsylvania aug: au: Wong, Weng Kee Ryeznik, Yevgen Sverdlov, Oleksandr Chen, Ping-Yang Fang, Xinying Chen, Ray-Bing Zhou, Shouhao Lee, J Jack affil: Department of Biostatistics, University of California, Los Angeles, CA, USA sug: subj: Algorithms Clinical Trials Dose-Response Relationship Probability Drug Toxicity Drug Efficacy Toxicity Tests Models, Statistical Pennsylvania Congresses and Conferences Pennsylvania ab: Metaheuristics are commonly used in computer science and engineering to solve optimization problems, but their potential applications in clinical trial design have remained largely unexplored. This article provides a brief overview of metaheuristics and reviews their limited use in clinical trial settings. We focus on nature-inspired metaheuristics and apply one of its exemplary algorithms, the particle swarm optimization (PSO) algorithm, to find phase I/II designs that jointly consider toxicity and efficacy. As a specific application, we demonstrate the utility of PSO in designing optimal dose-finding studies to estimate the optimal biological dose (OBD) for a continuation-ratio model with four parameters under multiple constraints. Our design improves existing designs by protecting patients from receiving doses higher than the unknown maximum tolerated dose and ensuring that the OBD is estimated with high accuracy. In addition, we show the effectiveness of metaheuristics in addressing more computationally challenging design problems by extending Simon's phase II designs to more than two stages and finding more flexible Bayesian optimal phase II designs with enhanced power. pubtype: Academic Journal doctype: equations & formulas proceedings tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|