Challenges with Logistic Mixed Models for Repeated Measures in R – Simulation Results Based on the frühstArt study

Background: Childhood overweight and obesity are increasing public health problems with long-term consequences. Addressing these problems early is vital to prevent the progression of childhood obesity into adolescence. The “frühstArt” study will investigate whether an early cross-sectoral, [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds155
Primary Topic
Data Analysis with R
Type
article
Field-Weighted Citation Impact
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article

Challenges with Logistic Mixed Models for Repeated Measures in R – Simulation Results Based on the frühstArt study

German Medical Science (German Research Foundation)
Data Analysis with R
article

Challenges with Logistic Mixed Models for Repeated Measures in R – Simulation Results Based on the frühstArt study

article en

Abstract

Background: Childhood overweight and obesity are increasing public health problems with long-term consequences. Addressing these problems early is vital to prevent the progression of childhood obesity into adolescence. The “frühstArt” study will investigate whether an early cross-sectoral, [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
University of Cologne (DE), Universitätsmedizin Göttingen (DE), Centrum für Integrierte Onkologie (DE)
Openalex Percentile: Top 23%
Data Analysis with R
DOIOpen Access PDFOpenAlex
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