Work

A Bayesian Dose-finding Design for Drug Combination Trials with Delayed Toxicities

Year: 2013

Type: article

Abstract: We propose a Bayesian adaptive dose-finding design for drug combination trials with delayed toxicity. We model the dose-toxicity relationship using the Finney model, a model widely used in drug-drug interaction studies. The intuitive interpretations of the Finney model facilitate incorporating the available prior dose-toxicity information from single-agent trials into combination trials through prior elicitation. We treat unobserved delayed toxicity outcomes as missing data and handle them using Bayesian data augmentation. We conduct extensive simulation studies to examine the operating characteristics of the proposed method under various practical scenarios. Results show that the proposed design is safe and able to select the target dose combinations with high probabilities.

Source: Bayesian Analysis

DOI: 10.1214/13-ba839

Authors: Suyu Liu, Jing Ning

Institution: The University of Texas MD Anderson Cancer Center

Language: English

Topic: Statistical Methods in Clinical Trials

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: diamond

Funders: National Institutes of Health, National Cancer Institute