Data-Dependent Early Completion of Dose Finding Trials for Drug-Combination

02/09/2022
by   Masahiro Kojima, et al.
0

We propose a data-dependent early completion of dose finding trials for drug-combination. The early completion is determined when a beta-binomial probability for dose retainment with the trial data and the number of remaining patients is high. This paper also proposes an early completion method that a dose retainment probability is adjusted by a bivariate isotonic regression. We demonstrate the early completion for a virtual trial. We evaluate the performance of early completion method through simulation studies with 12 scenarios. We confirmed the superior performance for our proposed early completion methods. We show the number of patients for determining early completion before a trial starts and a program code for calculating dose retainment probability in this paper.

READ FULL TEXT

page 30

page 31

research
09/22/2021

Early completion based on multiple dosages to accelerate maximum tolerated dose-finding

Background: Phase I trials desire to identify the maximum tolerated dose...
research
10/21/2019

A Nonparametric Bayesian Design for Drug Combination Cancer Trials

We propose an adaptive design for early phase drug combination cancer tr...
research
10/05/2021

Adaptive design for identifying maximum tolerated dose early to accelerate dose-finding trial

Purpose: The early identification of maximum tolerated dose (MTD) in pha...
research
04/26/2018

Subgroup identification in dose-finding trials via model-based recursive partitioning

An important task in early phase drug development is to identify patient...
research
12/18/2017

Statistical Properties of the Keyboard Design with Extension to Drug-Combination Trials

The keyboard design is a novel phase I dose-finding method that is simpl...
research
06/11/2020

A Bayesian response-adaptive dose finding and comparative effectiveness trial

Aims: Combinations of treatments can offer additional benefit over the t...

Please sign up or login with your details

Forgot password? Click here to reset