Showing stat.MEShow all
2 papers · 1 filter
stat.ME2024
A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
Mingyan Yu, Zhenke Wu, Margaret Hicken +1
Intensive longitudinal biomarker data are increasingly common in scientific studies that seek temporally granular understanding of the role of behavioral and physiological factors…
stat.ME2023
Using Subject-Level Variability to Predict Time-Varying Outcomes: Investigating the Association between Hormone Variability and BMD Trajectories over the Menopausal Transition
Irena Chen, Zhenke Wu, Sioban D. Harlow +3
Women are at increased risk of bone loss during the menopausal transition; in fact, nearly 50\% of women's lifetime bone loss occurs during this time. The longitudinal relationship…