Analysis of correlated data with feedback for time-dependent covariates in psychiatry research

被引：0
|
作者：
Elsa Vazquez Arreola
Jeffrey R Wilson
Ding-Geng Chen
机构：
[1] School of Mathematical and Statistical Sciences,Arizona State University
[2] Department of Economics,W.P.Carey School of Business,Arizona State University
[3] School of Social Work and Department of Biostatistics,University of North Carolina at Chapel Hill
来源：
上海精神医学 | 2020年 / 05期
关键词：
D O I：
暂无
中图分类号：
R749 [精神病学]; R741 [神经病学];
学科分类号：
1002 ; 100205 ;
摘要：
In studies on psychiatry and neurodegenerative diseases,it is common to have data that are correlated due to the hierarchical structure in data collection or to repeated measures on the subject longitudinally.However,the feedback effect created due to time-dependent covariates in these studies is often overlooked and seldom modelled.This article reviews the methodological development of feedback effects with marginal models for longitudinal data and discusses their implementation.
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收藏
页码：374 / 377
页数：4
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