Classical latent variable models for medical research

DOI10.1177/0962280207081236zbMath1154.62085OpenAlexW2105032143WikidataQ45208341 ScholiaQ45208341MaRDI QIDQ3597442

Anders Skrondal, Sophia Rabe-Hesketh

Publication date: 9 February 2009

Published in: Statistical Methods in Medical Research (Search for Journal in Brave)

Full work available at URL: http://www.escholarship.org/uc/item/3gz2p5ch

zbMATH Keywords

factor analysisfactor modelsmyocardial infarctionstructural equationslatent class modelsIRT modelsbrain scansphysical functioning

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (5)

Estimating correlations between vaccine clinical trial outcomes ⋮ A multilevel structural equation model for assessing a drug effect on a patient‐reported outcome measure in on‐demand medication data ⋮ Bayesian structural equation modeling for the health index ⋮ An estimating equations approach to fitting latent exposure models with longitudinal health outcomes ⋮ Causal mediation analysis with a latent mediator

Uses Software

• sem
• Stata
• Mplus
• WINSTEPS
• Latent GOLD

Cites Work

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