Partial likelihood estimation of IRT models with censored lifetime data: an application to mental disorders in the ESEMeD surveys

DOI10.1007/s11336-013-9400-yzbMath1308.62203OpenAlexW2091717002WikidataQ30788951 ScholiaQ30788951MaRDI QIDQ2339072

Josué Almansa, Núria D. Adroher, Gemma Vilagut, Carlos G. Forero, Jordi Alonso Caballero, Ron De Graaf, Josep-Maria Haro, Jeroen K. Vermunt

Publication date: 30 March 2015

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-013-9400-y

zbMATH Keywords

survival analysisdata censorshipinternalising psychiatric disordersmental disorderspsychiatric epidemiologypsychometric epidemiology

Mathematics Subject Classification ID

Reliability and life testing (62N05) Applications of statistics to psychology (62P15)

Uses Software

• Latent GOLD

Cites Work

• Unnamed Item
• Pseudo maximum likelihood estimation: Theory and applications
• Mixture model analysis of complex samples
• A Bayesian estimation of factor score in confirmatory factor model with polytomous, censored or truncated data
• Survival analysis. Techniques for censored and truncated data.
• Estimation of Lifetime Parameters from Incomplete Field Data
• A case-cohort design for epidemiologic cohort studies and disease prevention trials
• Partial likelihood
• Efficiency of pseudolikelihood estimation for simple Gaussian fields
• An EM algorithm for the estimation of parametric and nonparametric hierarchical nonlinear models
• Semiparametric regression analysis of longitudinal data with informative drop-outs
• Tobit factor analysis†
• Improving the Efficiency of Relative-Risk Estimation in Case-Cohort Studies
• Statistical models based on counting processes

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