倍差法及其在公共卫生领域中的应用
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  • 英文篇名:Application of difference-in-differences in public health
  • 作者:于石成 ; 王琦琦 ; 张曼晖
  • 英文作者:Yu Shicheng;Wang Qiqi;Zhang Manhui;Chinese Center for Disease Control and Prevention;
  • 关键词:准实验设计 ; 非均衡组设计 ; 倍差法 ; 一般线性模型 ; logistic回归
  • 英文关键词:Quasi-experimental study design;;Nonequivalent groups design;;Difference-in-differences;;General linear model;;Logistic regression
  • 中文刊名:JBJC
  • 英文刊名:Disease Surveillance
  • 机构:中国疾病预防控制中心;
  • 出版日期:2019-02-15 19:21
  • 出版单位:疾病监测
  • 年:2019
  • 期:v.34
  • 基金:国家重点研发计划(No.2018YFC1315305);; 中国疾病预防控制中心公共卫生应急反应机制的运行(No.131031001000150001)~~
  • 语种:中文;
  • 页:JBJC201903027
  • 页数:6
  • CN:03
  • ISSN:11-2928/R
  • 分类号:90-95
摘要
倍差法是针对非均衡组设计提出的统计方法,可解决准实验设计中干预组和对照组不均衡的问题。倍差法不仅可以处理两组基线差异的问题,也可以控制作用于两组的混杂因素的影响,有效地估计干预效应。本文阐述了倍差法的设计原理和统计方法,并以结果为连续变量(甲醛日潜在剂量,mg/d)的实例,拟合一般线性模型,并对结果进行解释。同时,针对结果为二分类变量的设计,也介绍了倍差法logistic回归的分析原理和参数解释。公共卫生干预项目采用非随机化分组的准实验设计较多,采用倍差法处理这些资料,可达到接近随机对照试验的统计效果。随着倍差法技术的普及,其在公共卫生项目评价中的应用将更广泛。
        Difference-in-differences(DID) is a statistical method specific to the nonequivalent group design(NEGD) and used to solve the problem of imbalance between the intervention group and control group in quasi-experimental study design.It can be used not only for dealing with the baseline difference between the two groups,but also for controlling the influence of confounding factors to effectively estimate the intervention effect.This paper summarizes the design principle and statistical method of DID,an example with a continuous variable as outcome(potential daily dose of formaldehyde,mg/d) is used to fit a general linear model,and the results are explained.With respect to the binary outcome,a logistic regression model is introduced to explain the statistical theory and parameters of DID.There are a bunch of quasi-experimental study designs with nonrandomized grouping in public health interventions.It is reasonable to handle this kind of data by using DID in order to achieve statistical effects similar to the randomized controlled trial(RCT).Difference-in-differences will be widely applied in the public health program evaluation with all-pervading technique of DID.
引文
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