Empirical Bayes Analysis of Survival Time Data
Empirical Bayes Analysis of Survival Time Data
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生存时间数据的经验贝叶斯分析
DOI：
10.1111/j.2517-6161.1981.tb01150.x
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发表时间：
1981
期刊：
影响因子：
--
通讯作者：
J. B. Urridge
中科院分区：
文献类型：
--
作者：
J. B. Urridge
寿命数据的经验贝叶斯分析。本文研究和扩展了Kalbfleisch（1978）讨论的模型，其中累积危险函数被视为一个Gamma过程。结果表明，利用分组数据（实际中的常见情况）从模型中得到的结果比利用连续数据得到的结果更令人满意。该文件还表明，一个参数表示的潜在的伽玛过程的变化，可以估计从这样的数据。另一个特征是，分析考虑了比伽马过程更一般的过程，仅出于说明的目的使用后者。
An empirical Bayes analysis of life-time data is described. The paper examines and extends the model discussed by Kalbfleisch (1978) in which the cumulative hazard function is treated as a gamma process. It is shown that the results obtained from the model by using grouped data (the usual case in practice) are more satisfactory than those obtained using continuous data. The paper also shows that a parameter representing the variability of the underlying gamma process can be estimated from such data. A further feature is that the analysis considers more general processes than the gamma process using the latter for illustrative purposes only.