摘要近年来,环境监测、疾病监测等各种监测网络不断健全,监测系统成为开展生态学研究的重要数据来源.监测数据类型包括了横断面数据、时间序列数据和面板数据,涉及暴露、结局和混杂3个维度.针对该数据的信息属性和结构特点,相关统计学方法逐渐发展完善,出现了一些新的方法、模型.基于数据的时空属性,本文对监测数据在生态学研究中常用模型的原理、适用条件及优劣进行了综述.

abstractsIn recent years,with the improvement of various surveillance network,surveillance system has become an important data source for ecological study.Different data types,including cross-sectional data,time series data and panel data,containing abundant information involving exposure,outcome and confoundings.Gradually,some new statistical methods have been developed or improved for the special structural characteristics of surveillance data.In this paper,we summarized the principles of these models,preconditions,as well as their advantages and limitations.