摘要
目的通过R软件实现分布滞后非线性模型(distributed lag non-linear model,DLNM)与多元meta分析的两阶段分析。方法通过1个时间序列数据实例研究介绍利用R软件实现DLNM与多元meta分析2阶段分析的具体步骤。结果DLNM与多元meta分析的两阶段分析可以在R软件中实现。结论R软件可灵活方便地构建DLNM以及实现多元meta分析,在环境流行病学中可广泛应用。
Objective To implement the procedure of distributed lag non-linear model(DLNM)and multivariate meta-analysis in R software.Methods A specific step of two-stage analysis of DLNM and multivariate meta-analysis was carried out in R software through a time series data.Results The two-stage analysis of DLNM and multivariate meta-analysis was successfully implemented in R software.Conclusion R software can be used to construct DLNM and conduct multivariate meta-analysis flexibly and conveniently,and the method can be widely used in environmental epidemiology.
作者
陈东真
尹嘉
丁国永
刘志东
刘雪娜
陆华
李晓梅
Chen Dongzhen;Yin Jia;Ding Guoyong;Liu Zhidong;Liu Xuena;Lu Hua;Li Xiaomei(Shandong First Medical University (Shandong Academy of Medical Sciences), Tai'an 271016, China;Liaocheng Center for Disease Control and Prevention, Liaocheng 252000, China;Qilu Hospital of Shandong University, Jinan 250012, China;Tai'an Center for Disease Control and Prevention, Tai'an 271001, China)
出处
《中国医院统计》
2022年第2期144-149,155,共7页
Chinese Journal of Hospital Statistics
基金
山东省自然科学基金(ZR2020MH339)。
关键词
分布滞后非线性模型
多元meta分析
环境流行病学
distributed lag non-linear model
multivariate meta-analysis
environmental epidemiology
