论文标题
在交叉设计中重复测量的半参数概括估计方程
Semi-parametric generalized estimating equations for repeated measurements in cross-over designs
论文作者
论文摘要
在每个时期内开发了一个重复度量的交叉设计模型。它是使用广义估计方程的扩展而获得的，该方程包括用于模型治疗效果的参数成分以及非参数成分以建模时间和剩下效应；非参数组件的估计方法基于花纹。进行了仿真研究以探索模型属性。因此，当有携带效果或功能性时间效应时，提出的模型比标准模型提出了更好的结果。在理论特性中，发现该溶液类似于加权最小二乘。因此，可以使模型诊断适应多个回归的结果。所提出的方法是在促进了这项工作方法的跨界实验的数据集中实施的：兔子中的收缩压和胰岛素。
A model for cross-over designs with repeated measures within each period was developed. It is obtained using an extension of generalized estimating equations that includes a parametric component to model treatment effects and a non-parametric component to model time and carry-over effects; the estimation approach for the non-parametric component is based on splines. A simulation study was carried out to explore the model properties. Thus, when there is a carry-over effect or a functional temporal effect, the proposed model presents better results than the standard models. Among the theoretical properties, the solution is found to be analogous to weighted least squares. Therefore, model diagnostics can be made adapting the results from a multiple regression. The proposed methodology was implemented in the data sets of the crossover experiments that motivated the approach of this work: systolic blood pressure and insulin in rabbits.
