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A comparative study of adaptive dose-finding designs for phase I oncology trials of combination therapies

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TLDR
It is found that performance of the model‐based dose‐finding methods varied depending on whether the dose combination matrix is square or not; whether the true MTDCs exist within the same group along the diagonals of the dosecombination matrix; and the number of trueMTDCs.
Abstract
Little is known about the relative performance of competing model-based dose-finding methods for combination phase I trials. In this study, we focused on five model-based dose-finding methods that have been recently developed. We compared the recommendation rates for true maximum-tolerated dose combinations (MTDCs) and over-dose combinations among these methods under 16 scenarios for 3 × 3, 4 × 4, 2 × 4, and 3 × 5 dose combination matrices. We found that performance of the model-based dose-finding methods varied depending on (1) whether the dose combination matrix is square or not; (2) whether the true MTDCs exist within the same group along the diagonals of the dose combination matrix; and (3) the number of true MTDCs. We discuss the details of the operating characteristics and the advantages and disadvantages of the five methods compared.

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Journal ArticleDOI

The Impact of Early-Phase Trial Design in the Drug Development Process.

TL;DR: This research investigates the role of the choice of an early-phase design on the likelihood that drugs entering the drug development pipeline will have 2 successful phase III trials and indicates that using the CRM or BOIN, rather than the 3+3, substantially enhances the proportion of effective agents that have successful phase II trials.
Journal ArticleDOI

A benchmark for dose-finding studies with unknown ordering.

TL;DR: A generalization of the benchmark is proposed that accounts for the uncertainty in the ordering of doses and provides a sharper upper bound on the performance of a design under a given scenario.
Journal ArticleDOI

Keyboard design for phase I drug-combination trials.

TL;DR: This article extends the Keyboard design to dual-agent dose-finding trials, and shows that the Keyboard combination design has desirable theoretical properties, including the optimality of its decision rules, coherence in dose transition, and convergence to the target dose.
Journal ArticleDOI

Bootstrap aggregating continual reassessment method for dose finding in drug-combination trials

TL;DR: In this article, the authors proposed a novel Bayesian adaptive design for drug-combination trials based on a robust dimension-reduction method, which continuously update the order of dose combinations and reduce the two-dimensional searching space to a one-dimensional line based on the estimated order.
Journal ArticleDOI

Practical designs for Phase I combination studies in oncology.

TL;DR: Three methods for Phase I combination studies that are easy to understand and straightforward to implement are reviewed and demonstrate the operating characteristics of the designs through illustration in a single trial, as well as through extensive simulation studies.
References
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Journal ArticleDOI

Continual reassessment method: a practical design for phase 1 clinical trials in cancer.

TL;DR: A new approach to the design and analysis of Phase 1 clinical trials in cancer and a particularly simple model is looked at that enables the use of models whose only requirements are that locally they reasonably well approximate the true probability of toxic response.
Journal ArticleDOI

Statistical inference under order restrictions : the theory and application of isotonic regression

TL;DR: Isotonic regression under order restrictions has been used to test the equality of ordered means for goodness of fit as discussed by the authors, in the normal case and in the special case of a sigma-lattice.
Journal ArticleDOI

Dose-finding with two agents in Phase I oncology trials

TL;DR: An adaptive two‐stage Bayesian design for finding one or more acceptable dose combinations of two cytotoxic agents used together in a Phase I clinical trial is proposed and a simulation study is presented.
Journal ArticleDOI

Model calibration in the continual reassessment method

TL;DR: The proposed method provides a fast and systematic approach for selecting initial guesses of probabilities of toxicity used in the CRM that are competitive to those obtained by trial and error through a time-consuming process, thus, simplifying the model calibration process for theCRM.
Book

Dose Finding by the Continual Reassessment Method

TL;DR: Fundamentals Introduction Dose Finding in Clinical Trials The Maximum Tolerated Dose An Overview of Methodology Bibliographic Notes Exercises and Further Results The Continual Reassessment Method
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