Wang P, Puterman M L, Cockburn I, Le N
Nanyang Business School, Nanyang Technical University, Singapore 2264.
Biometrics. 1996 Jun;52(2):381-400.
This paper studies a class of Poisson mixture models that includes covariates in rates. This model contains Poisson regression and independent Poisson mixtures as special cases. Estimation methods based on the EM and quasi-Newton algorithms, properties of these estimates, a model selection procedure, residual analysis, and goodness-of-fit test are discussed. A Monte Carlo study investigates implementation and model choice issues. This methodology is used to analyze seizure frequency and Ames salmonella assay data.
本文研究了一类在发生率中包含协变量的泊松混合模型。该模型包含泊松回归和独立泊松混合作为特殊情况。讨论了基于期望最大化（EM）算法和拟牛顿算法的估计方法、这些估计量的性质、模型选择程序、残差分析和拟合优度检验。一项蒙特卡罗研究调查了实施和模型选择问题。该方法用于分析癫痫发作频率和艾姆斯沙门氏菌检测数据。
