Tsou Tsung-Shan, Shen Chung-Wei
Institute of Statistics, National Central University, Taiwan, Province of China.
Stat Med. 2008 Aug 15;27(18):3550-62. doi: 10.1002/sim.3228.
The aim of this article is to provide asymptotically valid likelihood inferences about regression parameters for correlated ordinal response variables. The legitimacy of this novel approach requires no knowledge of the underlying joint distributions so long as their second moments exist. The efficacy of the proposed parametric approach is demonstrated via simulations and the analyses of two real data sets.
本文旨在为相关有序响应变量的回归参数提供渐近有效的似然推断。这种新方法的合理性不需要了解潜在的联合分布，只要它们的二阶矩存在即可。通过模拟和对两个真实数据集的分析，证明了所提出的参数方法的有效性。
