A Bayesian Adaptive Design in Cancer Phase I Trials Using Dose Combinations in the Presence of a Baseline Covariate
A Bayesian adaptive design for dose finding of a combination of two drugs in cancer phase I clinical trials that takes into account patients heterogeneity thought to be related to treatment susceptibility is described. The estimation of the maximum tolerated dose (MTD) curve is a function of a basel...
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Main Authors: | Márcio Augusto Diniz, Sungjin Kim, Mourad Tighiouart |
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Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
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Series: | Journal of Probability and Statistics |
Online Access: | http://dx.doi.org/10.1155/2018/8654173 |
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