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

作     者：Elsa Vazquez Arreola Jeffrey R Wilson Ding-Geng Chen Elsa Vazquez Arreola;Jeffrey R Wilson;Ding-Geng Chen

作者机构：School of Mathematical and Statistical SciencesArizona State UniversityTempeArizonaUSA Department of EconomicsW.P.Carey School of BusinessArizona State UniversityTempeArizonaUSA School of Social Work and Department of BiostatisticsUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA 

出 版 物：《General Psychiatry》 (综合精神医学（英文）)

年 卷 期：2020年第33卷第5期

页      面：374-377页

核心收录：

学科分类：1002[医学-临床医学] 100204[医学-神经病学] 100205[医学-精神病与精神卫生学] 10[医学] 

主　　题：diseases psy measures 

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 ***,the feedback effect created due to time-dependent covariates in these studies is often overlooked and seldom *** article reviews the methodological development of feedback effects with marginal models for longitudinal data and discusses their implementation.