CAJ | 학술논문

探讨流行病学资料中非独立数据的RR/患病率比(PR)的合适估计方法.采用计算机模拟实验和实例分析观察稳健Poisson-GEE和log-binomial-GEE模型的适用性并进行比较.结果表明log-binomial-GEE模型与稳健Poisson-GEE模型的收敛率基本均为100％,两模型估计各参数的平均值均与真值接近;在类内聚集性变小或类别数增加时,两模型估计各参数的95％CI覆盖率均有所提高;稳健Poisson-GEE模型对参数估计的稳健性较好,应用到实例时可正确评价暴露对结局的影响.稳健Poisson和log-binomial的GEE模型很少存在收敛问题,且有较高的准确率,可用于流行病学资料中非独立数据的RR/PR值估计.
탐토류행병학자료중비독립수거적RR/환병솔비(PR)적합괄고계방법.채용계산궤모의실험화실례분석관찰은건Poisson-GEE화log-binomial-GEE모형적괄용성병진행비교.결과표명log-binomial-GEE모형여은건Poisson-GEE모형적수렴솔기본균위100％,량모형고계각삼수적평균치균여진치접근;재류내취집성변소혹유별수증가시,량모형고계각삼수적95％CI복개솔균유소제고;은건Poisson-GEE모형대삼수고계적은건성교호,응용도실례시가정학평개폭로대결국적영향.은건Poisson화log-binomial적GEE모형흔소존재수렴문제,차유교고적준학솔,가용우류행병학자료중비독립수거적RR/PR치고계.
To explore the appropriate method in estimating relative risk (RR)/prevalence ratio (PR) related to non-independent datasets.The simulation datasets generated by computer and case study were analyzed by two generalized estimating equation (GEE) models to investigate and compare the related applicability.Both convergence effects of log-binomial-GEE model and Robust Poisson-GEE model were almost 100％.The estimation results of the two GEE models were both closer to the true value.95％CI coverage of the two GEE models increased along with the reduction of class aggregation or the increase of the number of categories.Robust-Poisson-GEE model seemed to be more stable and steady than the log-binomial-GEE.The two GEE models could correctly evaluate the effects of exposure on the outcome in the case study.Rarely,there appeared problems on convergence of Robust Poisson or log-binomial-GEE model,and the accuracy was high.Both models could be used to estimate the RR/PR on non-independent epidemiological data.