摘要
目前,传统的统计学方法在控制时依性混杂等方面存在局限,本研究详细介绍了一种可调整时依性混杂的分析方法——parametric g-formula,并举例说明了实施的具体步骤,为研究者处理长期观察性数据提供了新的参考.
At present,traditional methods on statistics have limitations in controlling time-varying confounding.This paper introduces an analysis method,parametric g-formula,which would adjust time-varying confounding,and also exemplifies the steps of its implementation for purpose to provide a new reference for researchers to deal with long-term observational data.
作者
吴诗蓝
周价
李逊
黄麟婷
张佳月
郭楚豪
龙斯思
谭红专
Wu Shilan;Zhou Jia;Li Xun;Huang Linting;Zhang Jiayue;Guo Chuhao;Long Sisi;Tan Hongzhuan(Department of Epidemiology and Health Statistics,Xiangya School of Public Health,Central South University,Changsha 410008,China;Institute of Pediatric Research,Hunan Children's Hospital,Changsha 410007,China)
出处
《中华流行病学杂志》
CAS
CSCD
北大核心
2019年第10期1310-1313,共4页
Chinese Journal of Epidemiology
基金
国家自然科学基金(81773535)。
