Diagnostics for repeated measurements in generalized linear mixed effects models |
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Authors: | Minkyung Oh |
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Affiliation: | Department of Pharmacology, College of Medicine and Clinical Trial Center, Busan Paik Hospital, Inje University, Busan, South Korea |
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Abstract: | ABSTRACTAs there is an extensive body of research on diagnostics in regression models, various outlier detection methods have been developed. These methods have been extended to mixed effects models and generalized linear models, but there exist intrinsic drawbacks and limitations. This paper presents two-dimensional plots to identify discordant subjects and observations in generalized linear mixed effects models, displaying discordance in two directions. The sTudentized Residual Sum of Squares is not an extension of any regression tools but a new approach designed to efficiently reflect the characteristics of repeated measures. And this noteworthy clustering of outliers is identified in the plot. Applications to real-life examples are presented to illustrate the favorable/beneficial performance of the new tool. |
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Keywords: | Local influence TRSS plots pseudo-likelihood longitudinal data clustered Poisson data |
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