1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2023★ 1 cited
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…
stat.AP2022
Variance as a predictor of health outcomes: Subject-level trajectories and variability of sex hormones to predict body fat changes in peri- and post-menopausal women
Irena Chen, Zhenke Wu, Siobán D. Harlow +3
Longitudinal biomarker data and cross-sectional outcomes are routinely collected in modern epidemiology studies, often with the goal of informing tailored early intervention decisi…