A semiparametric odds ratio model for measuring association
A semiparametric odds ratio model for measuring association
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DOI：
10.1111/j.1541-0420.2006.00701.x
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发表时间：
2007-06-01
期刊：
影响因子：
1.9
通讯作者：
Chen, Hua Yun
中科院分区：
文献类型：
--
作者：
Chen, Hua Yun
我们提出了一个多参数比值比模型来测量两个变量之间的关联，这些变量采用离散值、连续值或两者的混合。研究了对模型假设具有不同稳健性的估计和推理方法。还考虑了多参数有效估计和推理过程。在模拟研究中比较了估计方法，并将其应用于研究艾滋病毒感染妇女生殖道细菌计数之间的关联。
We propose a serniparametric odds ratio model to measure the association between two variables taking discrete values, continuous values, or a mixture of both. Methods for estimation and inference with varying degrees of robustness to model assumptions are studied. Serniparametric efficient estimation and inference procedures are also considered. The estimation methods are compared in a simulation study and applied to the study of associations among genital tract bacterial counts in HIV infected women.