Target toxicity design for phase I dose-finding

We propose a new two-/three-stage dose-finding design called Target Toxicity (TT) for phase I clinical trials, where we link the decision rules in the dose-finding process with the conclusions from a hypothesis test. The power to detect excessive toxicity is also given. This solves the problem of wh...

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Main Authors: Wenchuan Guo, Bob Zhong
Format: Article
Language:English
Published: Taylor & Francis Group 2021-04-01
Series:Statistical Theory and Related Fields
Subjects:
Online Access:http://dx.doi.org/10.1080/24754269.2020.1800331
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author Wenchuan Guo
Bob Zhong
author_facet Wenchuan Guo
Bob Zhong
author_sort Wenchuan Guo
collection DOAJ
description We propose a new two-/three-stage dose-finding design called Target Toxicity (TT) for phase I clinical trials, where we link the decision rules in the dose-finding process with the conclusions from a hypothesis test. The power to detect excessive toxicity is also given. This solves the problem of why the minimal number of patients is needed for the selected dose level. Our method provides a statistical explanation of traditional ‘3+3’ design using frequentist framework. The proposed method is very flexible and it incorporates other interval-based decision rules through different parameter settings. We provide the decision tables to guide investigators when to decrease, increase or repeat a dose for next cohort of subjects. Simulation experiments were conducted to compare the performance of the proposed method with other dose-finding designs. A free open source R package tsdf is available on CRAN. It is dedicated to deriving two-/three-stage design decision tables and perform dose-finding simulations.
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spelling doaj.art-ded1eae824ff490fad22a094661019642023-09-22T09:19:45ZengTaylor & Francis GroupStatistical Theory and Related Fields2475-42692475-42772021-04-015214916110.1080/24754269.2020.18003311800331Target toxicity design for phase I dose-findingWenchuan Guo0Bob Zhong1Global Biometric Sciences, Bristol-Myers Squibb CompanyNektar TherapeuticsWe propose a new two-/three-stage dose-finding design called Target Toxicity (TT) for phase I clinical trials, where we link the decision rules in the dose-finding process with the conclusions from a hypothesis test. The power to detect excessive toxicity is also given. This solves the problem of why the minimal number of patients is needed for the selected dose level. Our method provides a statistical explanation of traditional ‘3+3’ design using frequentist framework. The proposed method is very flexible and it incorporates other interval-based decision rules through different parameter settings. We provide the decision tables to guide investigators when to decrease, increase or repeat a dose for next cohort of subjects. Simulation experiments were conducted to compare the performance of the proposed method with other dose-finding designs. A free open source R package tsdf is available on CRAN. It is dedicated to deriving two-/three-stage design decision tables and perform dose-finding simulations.http://dx.doi.org/10.1080/24754269.2020.1800331group-sequential-like designsdose-findingphase imtdrecommended phase ii dosespower
spellingShingle Wenchuan Guo
Bob Zhong
Target toxicity design for phase I dose-finding
Statistical Theory and Related Fields
group-sequential-like designs
dose-finding
phase i
mtd
recommended phase ii doses
power
title Target toxicity design for phase I dose-finding
title_full Target toxicity design for phase I dose-finding
title_fullStr Target toxicity design for phase I dose-finding
title_full_unstemmed Target toxicity design for phase I dose-finding
title_short Target toxicity design for phase I dose-finding
title_sort target toxicity design for phase i dose finding
topic group-sequential-like designs
dose-finding
phase i
mtd
recommended phase ii doses
power
url http://dx.doi.org/10.1080/24754269.2020.1800331
work_keys_str_mv AT wenchuanguo targettoxicitydesignforphaseidosefinding
AT bobzhong targettoxicitydesignforphaseidosefinding