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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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Simple bootstrap for linear mixed effects under model misspecification
Linear mixed effects are considered excellent predictors of cluster-level parameters in various domains. However, previous work has …
Katarzyna Reluga, Stefan Sperlich
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Post-selection inference for linear mixed model parameters using the conditional Akaike information criterion
We investigate the issue of post-selection inference for a fixed and a mixed parameter in a linear mixed model using a conditional …
Katarzyna Reluga, Gerda Claeskens, Stefan Sperlich
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