Incorporating Historical Data in Bayesian Phase I Trial Design: The Caucasian-to-Asian Toxicity Tolerability Problem

被引:4
作者
Takeda, Kentaro [1 ,2 ]
Morita, Satoshi [1 ,3 ]
机构
[1] Yokohama City Univ, Grad Sch Med, Dept Biostat & Epidemiol, Yokohama, Kanagawa 232, Japan
[2] Astellas Pharma Inc, Biostat Grp, Data Sci, Global Dev, Tokyo 1038411, Japan
[3] Kyoto Univ, Grad Sch Med, Dept Biomed Stat & Bioinformat, Kyoto, Japan
关键词
dose finding; phase I study design; historical data; prior effective sample size; continual reassessment method; CONTINUAL REASSESSMENT METHOD; EFFECTIVE SAMPLE-SIZE; CLINICAL-TRIALS; CAPECITABINE; CANCER; MODELS;
D O I
10.1177/2168479014546333
中图分类号
R-058 [];
学科分类号
摘要
Following phase I dose-finding oncology trials completed in Western countries, Asian investigators often conduct further phase I trials to determine the maximum tolerated dose for Asian patients. This may be due to concerns about possible differences in treatment tolerability between Caucasian and Asian patient groups. Our proposed approach aims to appropriately borrow strength from a previous Caucasian trial to improve the maximum tolerated dose determination in an Asian population of patients. We design an Asian phase I trial using the Bayesian continual reassessment method. First we analyze toxicity data from a Caucasian trial to derive the prior distributions for a subsequent Asian trial. Then, we calibrate the informativeness of the prior distributions according to prior effective sample size defined by Morita et al. Extensive simulation studies demonstrate favourable operating characteristics of the proposed method, compared with two methods based on power and noninformative priors, respectively.
引用
收藏
页码:93 / 99
页数:7
相关论文
共 18 条
[1]  
[Anonymous], 1973, DESIGN CLIN TRIALS C
[2]   Preliminary studies of a novel oral fluoropyrimidine carbamate: Capecitabine [J].
Budman, DR ;
Meropol, NJ ;
Reigner, B ;
Creaven, PJ ;
Lichtman, SM ;
Berghorn, E ;
Behr, J ;
Gordon, RJ ;
Osterwalder, B ;
Griffin, T .
JOURNAL OF CLINICAL ONCOLOGY, 1998, 16 (05) :1795-1802
[3]  
Gilks W. R., 1995, Markov Chain Monte Carlo in Practice
[4]   A Bayesian approach to randomized controlled trials in children utilizing information from adults: the case of Guillain-Barre syndrome [J].
Goodman, SN ;
Sladky, JT .
CLINICAL TRIALS, 2005, 2 (04) :305-310
[5]  
Ibrahim JG, 2000, STAT SCI, V15, P46
[6]  
Liu Jen-pei, 2002, J Biopharm Stat, V12, P401, DOI 10.1081/BIP-120014568
[7]   Phase I and pharmacologic study of intermittent twice-daily oral therapy with capecitabine in patients with advanced and/or metastatic cancer [J].
Mackean, M ;
Planting, A ;
Twelves, C ;
Schellens, J ;
Allman, D ;
Osterwalder, B ;
Reigner, B ;
Griffin, T ;
Kaye, S ;
Verweij, J .
JOURNAL OF CLINICAL ONCOLOGY, 1998, 16 (09) :2977-2985
[8]   Determining the effective sample size of a parametric prior [J].
Morita, Satoshi ;
Thall, Peter F. ;
Mueller, Peter .
BIOMETRICS, 2008, 64 (02) :595-602
[9]   Evaluating the impact of prior assumptions in Bayesian biostatistics [J].
Morita S. ;
Thall P.F. ;
Müller P. .
Statistics in Biosciences, 2010, 2 (1) :1-17
[10]   Prior Effective Sample Size in Conditionally Independent Hierarchical Models [J].
Morita, Satoshi ;
Thall, Peter F. ;
Mueller, Peter .
BAYESIAN ANALYSIS, 2012, 7 (03) :591-614