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Uncovering circadian rhythms in metabolic longitudinal data: a Bayesian latent class modeling approach - MaRDI portal

Uncovering circadian rhythms in metabolic longitudinal data: a Bayesian latent class modeling approach

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Publication:6626854

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DOI10.1002/sim.9806zbMath1547.62306MaRDI QIDQ6626854

Sungduk Kim, Elizabeth B. Klerman, Paul S. Albert, Fangyi Gu, Neil Caporaso

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

longitudinal data random effects circadian rhythms Bayesian latent class model diurnal rhythms metabolite data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

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