A Note on Type II Error Under Random Effects Misspecification in Generalized Linear Mixed Models

DOI10.1111/j.1541-0420.2010.01474_1.xzbMath1217.62099OpenAlexW4248439133WikidataQ34819585 ScholiaQ34819585MaRDI QIDQ3013997

Charles E. McCulloch, John M. Neuhaus, Ross D. Boylan

Publication date: 19 July 2011

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3079788

zbMATH Keywords

powerconditional likelihoodmisspecified random effect distributions

Mathematics Subject Classification ID

Related Items (8)

The effect of misspecification of random effects distributions in clustered data settings with outcome-dependent sampling ⋮ Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models ⋮ A Semi‐parametric Transformation Frailty Model for Semi‐competing Risks Survival Data ⋮ Misspecifying the shape of a random effects distribution: why getting it wrong may not matter ⋮ Regression analysis of zero-inflated time-series counts: application to air pollution related emergency room visit data ⋮ Mitigating bias in generalized linear mixed models: the case for Bayesian nonparametrics ⋮ Longitudinal conditional models with intermittent missingness: SAS code and applications ⋮ Modeling of the ARMA random effects covariance matrix in logistic random effects models

Cites Work

• The effect of misspecifying the random-effects distribution in linear mixed models for longitudinal data
• Misspecified maximum likelihood estimates and generalised linear mixed models
• An Algorithm for Computing the Nonparametric MLE of a Mixing Distribution
• Conditions for consistent estimation in mixed‐effects models for binary matched‐pairs data
• Type I and Type II Error Under Random‐Effects Misspecification in Generalized Linear Mixed Models

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