| Literature DB >> 32443145 |
Irina Gaynanova1, Naresh Punjabi2, Ciprian Crainiceanu3.
Abstract
We introduce a multilevel functional Beta model to quantify the blood glucose levels measured by continuous glucose monitors for multiple days in study participants with type 2 diabetes mellitus. The model estimates the subject-specific marginal quantiles, quantifies the within- and between-subject variability, and produces interpretable parameters of blood glucose dynamics as a function of time from the actigraphy-estimated sleep onset. Results are validated via simulations and by studying the association between the estimated model parameters and hemoglobin A1c, the gold standard for assessing glucose control in diabetes.Entities:
Keywords: Actigraphy; Beta distribution; Functional PCA; Hemoglobin A1c
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Substances:
Year: 2022 PMID: 32443145 PMCID: PMC8942115 DOI: 10.1093/biostatistics/kxaa023
Source DB: PubMed Journal: Biostatistics ISSN: 1465-4644 Impact factor: 5.899