Title: Local influence in linear mixed models
Authors: Lesaffre, Emmanuel ×
Verbeke, Geert #
Issue Date: Jun-1998
Series Title: Biometrics vol:54 issue:2 pages:570-82
Abstract: The linear mixed model has become an important tool in modelling, partially due to the introduction of the SAS procedure MIXED, which made the method widely available to practising statisticians. Its growing popularity calls for data-analytic methods to check the underlying assumptions and robustness. Here, the problem of detecting influential subjects in the context of longitudinal data is considered, following the approach of local influence proposed by Cook.
ISSN: 0006-341X
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat)
× corresponding author
# (joint) last author

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