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

Elsa Vazquez Arreola, Jeffrey R. Wilson, Ding Geng Chen

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Article numbere100263
JournalGeneral Psychiatry
Volume33
Issue number5
DOIs
StatePublished - Sep 7 2020

Keywords

  • biostatistics
  • longitudinal studies
  • models, statistical
  • statistics as topic

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology
  • Psychiatry and Mental health

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