Bayesian estimation of log odds ratios from R × C and 2 × 2 × K contingency tables
Bayesian estimation of log odds ratios from R × C and 2 × 2 × K contingency tables
复制标题
根据 R × C 和 2 × 2 × K 列联表对对数比值比进行贝叶斯估计
DOI：
10.1111/j.1467-9574.2008.00387.x
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发表时间：
2008
影响因子：
1.5
通讯作者：
C. Hamurkaroğlu
中科院分区：
文献类型：
--
作者：
H. Demirhan;C. Hamurkaroğlu
本文研究了R × C和2 × 2 × K列联表的对数赔率比的贝叶斯估计，在先验信息存在的情况下，这种估计在实际中是合理的。对于每个表结构，导出对数赔率比的似然函数。提出了一种先验规范策略。后验推断采用Gibbs抽样和Metropolis-Hastings算法。文中给出了两个数值算例来说明所讨论的问题。
In this paper, Bayesian estimation of log odds ratios over R × C and 2 × 2 × K contingency tables is considered, which is practically reasonable in the presence of prior information. Likelihood functions for log odds ratios are derived for each table structure. A prior specification strategy is proposed. Posterior inferences are drawn using Gibbs sampling and Metropolis–Hastings algorithm. Two numerical examples are given to illustrate the matters argued.