Sensitivity analysis for the identifiability with application to latent random effect model for the mixed data

DOI10.1080/02664763.2014.929641OpenAlexW2023017666MaRDI QIDQ5130564

E. Bahrami Samani

Publication date: 28 October 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2014.929641

zbMATH Keywords

sensitivity analysisidentifiabilityrandom effect modelsmedical datamixed correlated responsesmaximal normal curvature

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Joint modeling for longitudinal set-inflated continuous and count responses ⋮ The t linear mixed model: model formulation, identifiability and estimation ⋮ Identifiability of parameters in longitudinal correlated Poisson and inflated beta regression model with non-ignorable missing mechanism ⋮ A note on the identifiability of latent variable models for mixed longitudinal data

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