Score-based confidence regions in linear mixed models are shown to have approximately correct coverage uniformly over parameters, including boundary cases where variance components are zero or correlations are plus or minus one.
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Uniform inference in linear mixed models
Score-based confidence regions in linear mixed models are shown to have approximately correct coverage uniformly over parameters, including boundary cases where variance components are zero or correlations are plus or minus one.