Bayesian Semiparametric Nonlinear Mixed‐Effects Joint Models for Data with Skewness, Missing Responses, and Measurement Errors in Covariates

DOI10.1111/J.1541-0420.2011.01719.XzbMath1270.62056OpenAlexW2142326648WikidataQ34093929 ScholiaQ34093929MaRDI QIDQ4649076

Getachew A. Dagne, Yangxin Huang

Publication date: 19 November 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3460696

zbMATH Keywords

longitudinal datamissing dataskew distributionsrandom-effects models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) General nonlinear regression (62J02) Nonparametric inference (62G99)

Related Items (7)

Bayesian inference on partially linear mixed-effects joint models for longitudinal data with multiple features ⋮ Bayesian model selection in linear mixed models for longitudinal data ⋮ Multivariate measurement error models based on Student-t distribution under censored responses ⋮ Likelihood-based quantile mixed effects models for longitudinal data with multiple features via MCEM algorithm ⋮ Robust joint non-linear mixed-effects models and diagnostics for censored HIV viral loads with CD4 measurement error ⋮ Segmental modeling of changing immunologic response for CD4 data with skewness, missingness and dropout ⋮ Joint modeling for mixed-effects quantile regression of longitudinal data with detection limits and covariates measured with error, with application to AIDS studies

Uses Software

• WinBUGS

Cites Work

• Missing responses in generalised linear mixed models when the missing data mechanism is nonignorable
• A Bayesian Approach to Joint Mixed-Effects Models with a Skew-Normal Distribution and Measurement Errors in Covariates
• A Linear Mixed-Effects Model With Heterogeneity in the Random-Effects Population
• Robust linear mixed models using the skew t distribution with application to schizophrenia data
• A new class of multivariate skew distributions with applications to bayesian regression models
• A Joint Model for Nonlinear Mixed-Effects Models With Censoring and Covariates Measured With Error, With Application to AIDS Studies
• Bayesian Measures of Model Complexity and Fit
• A Bayesian Formulation of Exploratory Data Analysis and Goodness‐of‐fit Testing*
• Measurement Error in Nonlinear Models
• Hierarchical Bayesian Methods for Estimation of Parameters in a Longitudinal HIV Dynamic System
• Deviance information criteria for missing data models

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