A Bayesian Approach to Joint Mixed-Effects Models with a Skew-Normal Distribution and Measurement Errors in Covariates
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Publication:3008885
DOI10.1111/j.1541-0420.2010.01425.xzbMath1217.62032OpenAlexW2170395887WikidataQ51696291 ScholiaQ51696291MaRDI QIDQ3008885
Yangxin Huang, Getachew A. Dagne
Publication date: 22 June 2011
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1541-0420.2010.01425.x
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) General nonlinear regression (62J02)
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Uses Software
Cites Work
- On the Unification of Families of Skew-normal Distributions
- The multivariate skew-normal distribution
- A Two-Step Approach to Measurement Error in Time-Dependent Covariates in Nonlinear Mixed-Effects Models, With Application to IGF-I Pharmacokinetics
- 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
- Population HIV‐1 Dynamics In Vivo: Applicable Models and Inferential Tools for Virological Data from AIDS Clinical Trials
- Bayesian Measures of Model Complexity and Fit
- Simultaneous Inference for Semiparametric Nonlinear Mixed‐Effects Models with Covariate Measurement Errors and Missing Responses
- 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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