A Bayesian interval dose-finding design addressingOckham's razor: mTPI-2
نویسندگان
چکیده
منابع مشابه
A Bayesian Decision-Theoretic Dose-Finding Trial
We describe the use of a successful combination of Bayesian inference and decision theory in a clinical trial design. The trial involves three important decisions, adaptive dose allocation, optimal stopping of the trial, and the optimal terminal decision upon stopping. For all three decisions we use a formal Bayesian decision-theoretic approach. The application demonstrates how Bayesian posteri...
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BACKGROUND Building on earlier work, the toxicity probability interval (TPI) method, we present a modified TPI (mTPI) design that is calibration-free for phase I trials. PURPOSE Our goal is to improve the trial conduct and provide more effective designs while maintaining the simplicity of the original TPI design. METHODS Like the TPI method, the mTPI consists of a practical dose-finding sch...
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Since real-life measurements cannot be absolutely precise, we never know the precise value of a physical quantity, we only know an interval of its ix~ssible values. Due m this uncertainty, there are several different models that are consistent with the same measurement results. Which model should we ch(x~se? in this paper, we show that Ockham's raz~w principle (Emitim 4umld m~t be m~dtiplial ~a...
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ژورنال
عنوان ژورنال: Contemporary Clinical Trials
سال: 2017
ISSN: 1551-7144
DOI: 10.1016/j.cct.2017.04.006