A BAYESIAN-ANALYSIS OF INSTITUTIONAL EFFECTS IN A MULTICENTER CANCER CLINICAL-TRIAL
A BAYESIAN-ANALYSIS OF INSTITUTIONAL EFFECTS IN A MULTICENTER CANCER CLINICAL-TRIAL
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DOI：
10.2307/2533216
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发表时间：
1994-03-01
期刊：
影响因子：
1.9
通讯作者：
GRAY, RJ
中科院分区：
文献类型：
--
作者：
GRAY, RJ
本文研究了一种贝叶斯方法，用于调查多中心临床试验中具有审查失败时间端点的制度变异量。在比例风险模型中，使用层次结构来模拟制度效应，并使用吉布斯抽样计算后验分布。这些方法应用于东部肿瘤合作小组进行的肺癌试验的数据。在这项试验中，各机构的治疗效果似乎存在很大差异。虽然尚未查明其原因，但有可能通过详细审查具有极端影响的机构的数据来进一步调查这一点。
This paper examines a Bayesian method for investigating the amount of institutional variation in a multicenter clinical trial with a censored failure time endpoint. A hierarchical structure is used to model the institutional effects in a proportional hazards model, with the posterior distributions calculated using Gibbs sampling. The methods are applied to data from a lung cancer trial conducted by the Eastern Cooperative Oncology Group. In this trial there appears to be substantial variation in the treatment effect across institutions. Although the reasons for this have not been identified, it would be possible to investigate this further through a detailed examination of the data from institutions with extreme effects.