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

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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	General psychiatry 2020-09, Vol.33 (5), p.e100263-e100263
Hauptverfasser:	Vazquez Arreola, Elsa, Wilson, Jeffrey R, Chen, Ding-Geng
Format:	Artikel
Sprache:	eng
Schlagworte:	Biostatistical Methods in Psychiatry Estimates Feedback Longitudinal studies Mental disorders Mental health Population Psychiatry Quality of life Regression analysis Social support
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	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.
ISSN:	2517-729X 2096-5923 2517-729X
DOI:	10.1136/gpsych-2020-100263