Identifying typical trajectories in longitudinal data: modelling strategies and interpretations
Identifying typical trajectories in longitudinal data: modelling strategies and interpretations
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Publisher
Dordrecht: Springer Netherlands
Journal title
Language
English
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Publisher
Dordrecht: Springer Netherlands
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Scope and Contents
Contents
Individual-level longitudinal data on biological, behavioural, and social dimensions are becoming increasingly available. Typically, these data are analysed using mixed effects models, with the result summarised in terms of an average trajectory plus measures of the individual variations around this average. However, public health investigations wo...
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Full title
Identifying typical trajectories in longitudinal data: modelling strategies and interpretations
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Record Identifier
TN_cdi_swepub_primary_oai_swepub_ki_se_472958
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_swepub_ki_se_472958
Other Identifiers
ISSN
0393-2990,1573-7284
E-ISSN
1573-7284
DOI
10.1007/s10654-020-00615-6
