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Mramba, L.K.* ; Liu, X.* ; Lynch, K.F.* ; Yang, J.* ; Aronsson, C.A.* ; Hummel, S. ; Norris, J.M.* ; Virtanen, S.M.* ; Hakola, L.* ; Uusitalo, U.M.* ; Krischer, J.P.*

Detecting potential outliers in longitudinal data with time-dependent covariates.

Eur. J. Clin. Nutr., DOI: 10.1038/s41430-023-01393-6 (2024)
Postprint DOI PMC
Open Access Green
BACKGROUND: Outliers can influence regression model parameters and change the direction of the estimated effect, over-estimating or under-estimating the strength of the association between a response variable and an exposure of interest. Identifying visit-level outliers from longitudinal data with continuous time-dependent covariates is important when the distribution of such variable is highly skewed. OBJECTIVES: The primary objective was to identify potential outliers at follow-up visits using interquartile range (IQR) statistic and assess their influence on estimated Cox regression parameters. METHODS: Study was motivated by a large TEDDY dietary longitudinal and time-to-event data with a continuous time-varying vitamin B12 intake as the exposure of interest and development of Islet Autoimmunity (IA) as the response variable. An IQR algorithm was applied to the TEDDY dataset to detect potential outliers at each visit. To assess the impact of detected outliers, data were analyzed using the extended time-dependent Cox model with robust sandwich estimator. Partial residual diagnostic plots were examined for highly influential outliers. RESULTS: Extreme vitamin B12 observations that were cases of IA had a stronger influence on the Cox regression model than non-cases. Identified outliers changed the direction of hazard ratios, standard errors, or the strength of association with the risk of developing IA. CONCLUSION: At the exploratory data analysis stage, the IQR algorithm can be used as a data quality control tool to identify potential outliers at the visit level, which can be further investigated.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Implausible Values
ISSN (print) / ISBN 0954-3007
e-ISSN 1476-5640
Zeitschrift European Journal of Clinical Nutrition
Verlag Nature Publishing Group
Verlagsort Campus, 4 Crinan St, London, N1 9xw, England
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Diabetes Research Type 1 (IDF)
Förderungen University of Colorado
NIH/NCATS Clinical and Translational Science Awards
JDRF
Centers for Disease Control and Prevention (CDC)
National Institute of Environmental Health Sciences (NIEHS)
Human Development (NICHD)
Eunice Kennedy Shriver National Institute of Child Health
National Institute of Allergy and Infectious Diseases (NIAID)

National Institute ofDiabetes and Digestive and Kidney Diseases (NIDDK)