Detecting influential subjects in intensive longitudinal data using mixed-effects location scale mod...
Detecting influential subjects in intensive longitudinal data using mixed-effects location scale models
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Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
Collection of intensive longitudinal health outcomes allows joint modeling of their mean (location) and variability (scale). Focusing on the location of the outcome, measures to detect influential subjects in longitudinal data using standard mixed-effects regression models (MRMs) have been widely discussed. However, no existing approach enables the...
Alternative Titles
Full title
Detecting influential subjects in intensive longitudinal data using mixed-effects location scale models
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_c475796869cc469f842387e46f263de8
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c475796869cc469f842387e46f263de8
Other Identifiers
ISSN
1471-2288
E-ISSN
1471-2288
DOI
10.1186/s12874-023-02046-9
