An estimating equations approach to fitting latent exposure models with longitudinal health outcomes

DOI10.1214/08-AOAS226zbMath1166.62084arXiv0908.2886OpenAlexW3101284272WikidataQ53470888 ScholiaQ53470888MaRDI QIDQ2270676

Esben Budtz-Jørgensen, Brisa N. Sánchez, Louise M. Ryan

Publication date: 29 July 2009

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0908.2886

zbMATH Keywords

dimension reductionmeasurement errorfactor score regressionlead exposure

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Estimation in survival analysis and censored data (62N02)

Related Items

Predicting latent class scores for subsequent analysis ⋮ A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error

Uses Software

• sem
• Mplus
• LISREL
• GLLAMM

Cites Work

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• Structural Equation Models