A maximum likelihood latent variable regression model for multiple informants

Nicholas J. Horton, Kevin Roberts, Louise Ryan, Shakira Franco Suglia, Rosalind J. Wright

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Studies pertaining to childhood psychopathology often incorporate information from multiple sources (or informants). For example, measurement of some factor of particular interest might be collected from parents, teachers as well as the children being studied. We propose a latent variable modeling framework to incorporate multiple informant predictor data. Several related models are presented, and likelihood ratio tests are introduced to formally compare fit. The incorporation of partially observed subjects is addressed under a variety of missing data mechanisms. The methods are motivated by and applied to a study of the association of chronic exposure to violence on asthma in children.

Original languageEnglish
Pages (from-to)4992-5004
Number of pages13
JournalStatistics in Medicine
Volume27
Issue number24
DOIs
StatePublished - 30 Dec 2008
Externally publishedYes

Keywords

  • Asthma
  • Community violence
  • Missing data
  • Multiple source reports
  • Rasch model

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