A latent variable model for mixed continuous and ordinal responses with nonignorable missing responses: assessing the local influence via covariance structure

DOI10.1007/s13571-010-0003-7zbMath1222.62026OpenAlexW2126920330MaRDI QIDQ717212

E. Bahrami Samani, S. Eftekhari, Mojtaba Ganjali

Publication date: 29 September 2011

Published in: Sankhyā. Series B (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13571-010-0003-7

Mathematics Subject Classification ID

Point estimation (62F10) Sampling theory, sample surveys (62D05) Applications of statistics (62P99)

Related Items (5)

A Bayesian conditional model for bivariate mixed ordinal and skew continuous longitudinal responses using quantile regression ⋮ A Bayesian shared parameter model for joint modeling of longitudinal continuous and binary outcomes ⋮ Bayesian quantile regression for joint modeling of longitudinal mixed ordinal and continuous data ⋮ Joint modeling of mixed skewed continuous and ordinal longitudinal responses: a Bayesian approach ⋮ Sensitivity analysis for nonignorable missing responses with application to multivariate random effect model

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• Combining Panel Data Sets with Attrition and Refreshment Samples
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• Multivariate Correlation Models with Mixed Discrete and Continuous Variables

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