论文标题
通过重复测量的跨界实验设计中高斯和非高斯反应分析的相关结构
A correlation structure for the analysis of Gaussian and non-Gaussian responses in crossover experimental designs with repeated measures
论文作者
论文摘要
在这项研究中，我们提出了一个使用广义估计方程（GEE）的重复措施的交叉设计的相关结构家族。该结构考虑了两个矩阵：一个模型之间相关性之间的模型，而另一个模拟了当前相关性内的模型。用于构建GEE的总体相关矩阵对应于这些矩阵之间的kronecker。提出了一个估计相关矩阵参数的过程，研究了其统计属性，并使用单个相关矩阵进行了与标准模型进行比较。一项仿真研究表明，根据纵向数据中的纵向数据中，纵向相关现象/模式在纵向数据中解释复杂的相关现象/模式的能力表明，提出的结构的性能卓越
In this study, we propose a family of correlation structures for crossover designs with repeated measures for both, Gaussian and non-Gaussian responses using generalized estimating equations (GEE). The structure considers two matrices: one that models between-period correlation and another one that models within-period correlation. The overall correlation matrix, which is used to build the GEE, corresponds to the Kronecker between these matrices. A procedure to estimate the parameters of the correlation matrix is proposed, its statistical properties are studied and a comparison with standard models using a single correlation matrix is carried out. A simulation study showed a superior performance of the proposed structure in terms of the quasi-likelihood criterion, efficiency, and the capacity to explain complex correlation phenomena/patterns in longitudinal data from crossover designs
