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Bootstrap-based statistical inference for linear mixed effects under misspecifications
Linear mixed effects are considered excellent predictors of cluster-level parameters in various domains. However, previous research has …
Katarzyna Reluga, María José Lombardía, Stefan Sperlich
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A unified analysis of regression adjustment in randomized experiments
Regression adjustment is broadly applied in randomized trials under the premise that it usually improves the precision of a treatment …
Katarzyna Reluga, Ting Ye, Qingyuan Zhao
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Simultaneous inference for linear mixed model parameters with an application to small area estimation
Over the past decades, linear mixed models have attracted considerable attention in various fields of applied statistics. They are …
Katarzyna Reluga, María José Lombardía, Stefan Sperlich
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Simultaneous inference for empirical best predictors with a poverty study in small areas
Today, generalized linear mixed models (GLMM) are broadly used in many fields. However, the development of tools for performing …
Katarzyna Reluga, María José Lombardía, Stefan Sperlich
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