English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Women are at increased risk of bone loss during the menopausal transition; infact, nearly 50\% of women's lifetime bone loss occurs during this time. Thelongitudinal relationships between estradiol (E2) and follicle-stimulatinghormone (FSH), two hormones that change have characteristic changes during themenopausal transition, and bone health outcomes are complex. However, inaddition to level and rate of change in E2 and FSH, variability in thesehormones across the menopausal transition may be an important predictor of bonehealth, but this question has yet to be well explored. We introduce a jointmodel that characterizes individual mean estradiol (E2) trajectories and theindividual residual variances and links these variances to bone healthtrajectories. In our application, we found that higher FSH variability wasassociated with declines in bone mineral density (BMD) before menopause, butthis association was moderated over time after the menopausal transition.Additionally, higher mean E2, but not E2 variability, was associated withslower decreases in during the menopausal transition. We also include asimulation study that shows that naive two-stage methods often fail topropagate uncertainty in the individual-level variance estimates, resulting inestimation bias and invalid interval coverage

A joint modeling approach to study the association between subject-level longitudinal marker variabilities and repeated outcomes