Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models

DOI10.1111/insr.12378OpenAlexW3017371728MaRDI QIDQ6088261

Samuel Müller, Francis K. C. Hui, A. H. Welsh

Publication date: 13 December 2023

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/insr.12378

zbMATH Keywords

predictionrobustnesshypothesis testingfixed effectsmaximum likelihoodvariance components

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Statistics (62-XX) Parametric inference (62Fxx)

Related Items (3)

Assuming independence in spatial latent variable models: Consequences and implications of misspecification ⋮ Predictions of machine learning with mixed-effects in analyzing longitudinal data under model misspecification ⋮ Approximate inferences for nonlinear mixed effects models with scale mixtures of skew-normal distributions

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