Modeling continuous glucose monitoring (CGM) data during sleep

Irina Gaynanova, Naresh Punjabi, Ciprian Crainiceanu

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)223-239
Number of pages17
JournalBiostatistics
Volume23
Issue number1
DOIs
StatePublished - Jan 1 2022

Keywords

  • Actigraphy
  • Beta distribution
  • Functional PCA
  • Hemoglobin A1c

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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