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

Research article (International Statistical Review, 2020) · cited 24× · AI/ML
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Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models

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Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/random-effects-misspecification-can-have-severe-consequences-for-random-effects-inference-in-linear-mixed-models
MLA “Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/random-effects-misspecification-can-have-severe-consequences-for-random-effects-inference-in-linear-mixed-models.
BibTeX @misc{4ortxyz_random-effects-misspecification-can-have-severe-consequences-for-random-effects-inference-in-linear-mixed-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models}}, year = {2026}, url = {https://4ort.xyz/entity/random-effects-misspecification-can-have-severe-consequences-for-random-effects-inference-in-linear-mixed-models}, note = {Accessed: 2026-05-24}}
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