A family of tests to detect misspecifications in the random-effects structure of generalized linear mixed models

DOI10.1016/j.csda.2008.02.033zbMath1452.62532OpenAlexW2093640528MaRDI QIDQ1023791

Ariel Alonso, S. Litière, Geert Molenberghs

Publication date: 16 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/1942/8057

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Diagnostics, and linear inference and regression (62J20)

Related Items (13)

Effect of covariate misspecifications in the marginalized zero-inflated Poisson model ⋮ Hierarchical and multivariate regression models to fit correlated asymmetric positive continuous outcomes ⋮ Detecting misspecification in the random-effects structure of cumulative logit models ⋮ Diagnosing misspecification of the random‐effects distribution in mixed models ⋮ Random-intercept misspecification in generalized linear mixed models for binary responses ⋮ A Poisson mixed model with nonnormal random effect distribution ⋮ Misspecifying the shape of a random effects distribution: why getting it wrong may not matter ⋮ Estimating negative variance components from Gaussian and non-Gaussian data: a mixed models approach ⋮ Goodness-of-fit tests of generalized linear mixed models for repeated ordinal responses ⋮ Link misspecification in generalized linear mixed models with a random intercept for binary responses ⋮ Stochastic degradation process modeling and remaining useful life estimation with flexible random-effects ⋮ Multivariate generalized linear mixed models with semi-nonparametric and smooth nonparametric random effects densities ⋮ A family of tests to detect misspecifications in the random-effects structure of generalized linear mixed models

Cites Work

• Unnamed Item
• Unnamed Item
• Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies
• A family of tests to detect misspecifications in the random-effects structure of generalized linear mixed models
• Models for discrete longitudinal data.
• Misspecified maximum likelihood estimates and generalised linear mixed models
• A diagnostic test for the mixing distribution in a generalised linear mixed model
• On the Effect of the Number of Quadrature Points in a Logistic Random Effects Model: An Example
• Validation of Surrogate Markers in Multiple Randomized Clinical Trials with Repeated Measurements: Canonical Correlation Approach
• Asymptotic distribution of the sample roots for a nonnormal population
• Approximate Inference in Generalized Linear Mixed Models
• Generalized linear mixed models a pseudo-likelihood approach
• A Simulation‐based Goodness‐of‐fit Test for Random Effects in Generalized Linear Mixed Models
• Type I and Type II Error Under Random‐Effects Misspecification in Generalized Linear Mixed Models
• Asymptotic Theory for Principal Component Analysis
• A Monte Carlo EM algorithm for generalized linear mixed models with flexible random effects distribution
• Maximum Likelihood Estimation of Misspecified Models

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