Continuous endpoints in Bayesian two-stage designs

被引:1
|
作者
Brutti, Pierpaolo [1 ]
De Santis, Fulvio [1 ]
Gubbiotti, Stefania [1 ]
Sambucini, Valeria [1 ]
机构
[1] Sapienza Univ Roma, Dipartimento Sci Stat, Piazzale Aldo Moro 5, I-00182 Rome, Italy
关键词
Analysis prior; Design prior; Sample size determination; Skew normal distribution; SAMPLE-SIZE DETERMINATION; II CLINICAL-TRIALS; PHASE-II; CONTINUOUS OUTCOMES; CANCER; MODEL;
D O I
10.1080/10543406.2016.1148719
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Single-arm two-stage designs for phase II of clinical trials typically focus on a binary endpoint obtained by dichotomizing an underlying continuous measure of treatment efficacy. To avoid the resulting loss of information, we propose a two-stage design based on a Bayesian predictive approach that directly uses the original continuous endpoint. Numerical results are provided with reference to phase II cancer trials aimed at assessing tumor shrinking effect of an experimental treatment.
引用
收藏
页码:966 / 977
页数:12
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