Abstract | ||
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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 |
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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 Yada | 1 | 0 | 0.34 |
Chikuma Hamada | 2 | 2 | 1.17 |