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Bayesian procedures for phase I/II clinical trials investigating the safety and efficacy of drug combinations

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Bayesian procedures for phase I/II clinical trials investigating the safety and efficacy of drug combinations. / Whitehead, John; Thygesen, Helene; Whitehead, Anne.
In: Statistics in Medicine, Vol. 30, No. 16, 20.07.2011, p. 1952-1970.

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Whitehead J, Thygesen H, Whitehead A. Bayesian procedures for phase I/II clinical trials investigating the safety and efficacy of drug combinations. Statistics in Medicine. 2011 Jul 20;30(16):1952-1970. Epub 2011 May 18. doi: 10.1002/sim.4267

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@article{16cf508f10f74ee68f37faad32f92948,
title = "Bayesian procedures for phase I/II clinical trials investigating the safety and efficacy of drug combinations",
abstract = "Many formal statistical procedures for phase I dose-finding studies have been proposed. Most concern a single novel agent available at a number of doses and administered to subjects participating in a single treatment period and returning a single binary indicator of toxicity. Such a structure is common when evaluating cytotoxic drugs for cancer. This paper concerns studies of combinations of two agents, both available at several doses. Subjects participate in one treatment period and provide two binary responses: one an indicator of benefit and the other of harm. The word “benefit” is used loosely here: the response might be an early indicator of physiological change which, if induced in patients, is of potential therapeutic value. The context need not be oncology, but might be any study intended to meet both the phase I aim of establishing which doses are safe and the phase II goal of exploring potential therapeutic activity. A Bayesian approach is used based on an assumption of monotonicity in the relationship between the strength of the dose combination and the distribution of the bivariate outcome. Special cases are described, and the procedure is evaluated using simulation. The parameters that define the model have immediate and simple interpretation. Graphical representations of the posterior opinions about model parameters are shown, and these can be used to inform the discussions of the trial safety committee.",
keywords = "combination therapies, decision procedure, dose-finding , phase I/II clinical trials",
author = "John Whitehead and Helene Thygesen and Anne Whitehead",
year = "2011",
month = jul,
day = "20",
doi = "10.1002/sim.4267",
language = "English",
volume = "30",
pages = "1952--1970",
journal = "Statistics in Medicine",
issn = "1097-0258",
publisher = "John Wiley and Sons Ltd",
number = "16",

}

RIS

TY - JOUR

T1 - Bayesian procedures for phase I/II clinical trials investigating the safety and efficacy of drug combinations

AU - Whitehead, John

AU - Thygesen, Helene

AU - Whitehead, Anne

PY - 2011/7/20

Y1 - 2011/7/20

N2 - Many formal statistical procedures for phase I dose-finding studies have been proposed. Most concern a single novel agent available at a number of doses and administered to subjects participating in a single treatment period and returning a single binary indicator of toxicity. Such a structure is common when evaluating cytotoxic drugs for cancer. This paper concerns studies of combinations of two agents, both available at several doses. Subjects participate in one treatment period and provide two binary responses: one an indicator of benefit and the other of harm. The word “benefit” is used loosely here: the response might be an early indicator of physiological change which, if induced in patients, is of potential therapeutic value. The context need not be oncology, but might be any study intended to meet both the phase I aim of establishing which doses are safe and the phase II goal of exploring potential therapeutic activity. A Bayesian approach is used based on an assumption of monotonicity in the relationship between the strength of the dose combination and the distribution of the bivariate outcome. Special cases are described, and the procedure is evaluated using simulation. The parameters that define the model have immediate and simple interpretation. Graphical representations of the posterior opinions about model parameters are shown, and these can be used to inform the discussions of the trial safety committee.

AB - Many formal statistical procedures for phase I dose-finding studies have been proposed. Most concern a single novel agent available at a number of doses and administered to subjects participating in a single treatment period and returning a single binary indicator of toxicity. Such a structure is common when evaluating cytotoxic drugs for cancer. This paper concerns studies of combinations of two agents, both available at several doses. Subjects participate in one treatment period and provide two binary responses: one an indicator of benefit and the other of harm. The word “benefit” is used loosely here: the response might be an early indicator of physiological change which, if induced in patients, is of potential therapeutic value. The context need not be oncology, but might be any study intended to meet both the phase I aim of establishing which doses are safe and the phase II goal of exploring potential therapeutic activity. A Bayesian approach is used based on an assumption of monotonicity in the relationship between the strength of the dose combination and the distribution of the bivariate outcome. Special cases are described, and the procedure is evaluated using simulation. The parameters that define the model have immediate and simple interpretation. Graphical representations of the posterior opinions about model parameters are shown, and these can be used to inform the discussions of the trial safety committee.

KW - combination therapies

KW - decision procedure

KW - dose-finding

KW - phase I/II clinical trials

U2 - 10.1002/sim.4267

DO - 10.1002/sim.4267

M3 - Journal article

VL - 30

SP - 1952

EP - 1970

JO - Statistics in Medicine

JF - Statistics in Medicine

SN - 1097-0258

IS - 16

ER -