Title
Application Of Gamma Process To Two-Agent Combinations With Delayed Toxicity
Abstract
Phase I trials investigate the drugs used on humans for the first time. In cancer treatment, drug safety is examined based on the toxicity. Herein, we propose a dose-finding method for oncological phase I drug combinations with delayed toxicity. The toxicity data of the patients who do not complete the follow-up period and do not experience toxicity are considered missing data. We use data augmentation to impute missing data while modeling the time required to experience toxicity using a hazard function, modeled using a gamma process. Simulation results demonstrate that the proposed method shortens trial durations without affecting performance.
Year
DOI
Venue
2021
10.1080/03610918.2018.1554107
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Keywords
DocType
Volume
Missing data, Data augmentation algorithm, Gamma process, Delayed toxicity, Phase I clinical trial
Journal
50
Issue
ISSN
Citations 
1
0361-0918
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Shinjo Yada100.34
Chikuma Hamada221.17