Detection of atypical response trajectories in biomedical longitudinal databases

Pantazis Lucio José () and García Rafael Antonio
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Pantazis Lucio José: ITBA, Buenos Aires, Lavardén 315, CP 1437, Argentina
García Rafael Antonio: ITBA, Buenos Aires, Lavardén 315, CP 1437, Argentina

The International Journal of Biostatistics, 2023, vol. 19, issue 2, 389-415

Abstract: Many health care professionals and institutions manage longitudinal databases, involving follow-ups for different patients over time. Longitudinal data frequently manifest additional complexities such as high variability, correlated measurements and missing data. Mixed effects models have been widely used to overcome these difficulties. This work proposes the use of linear mixed effects models as a tool that allows to search conceptually different types of anomalies in the data simultaneously.

Keywords: longitudinal data; mixed effects models; outlier detection (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1515/ijb-2020-0076

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