An Integrated Quantitative Methodology to Longitudinally Characterize Complex Dynamic Processes Associated with Ovarian Aging and the Menopausal Transition.
Year: 2011
Type: article
Abstract: An integrative methodology is developed to characterize the complex patterns of change in highly variable dynamic biological processes. The method permits estimatation of the population mean profile, multiple change points and length of time-windows defined by any two change points of interest using a semi-/non-parametric stochastic mixed effect model and a Bayesian Modeling Average (BMA) approach to account for model uncertainty. It also allows estimation of the mean rate of change of sub-processes by fitting piecewise linear mixed effect models. The methodology is applied to characterize the stages of female ovarian aging and the menopausal transition defined by hormone measures of estradiol (E2) and follicle stimulating hormone (FSH) from two large-scale epidemiological studies with community-based longitudinal designs and ethnic diversity.
Source: PubMed
Institution: University of Michigan
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
Awards: Study of Women's Health Across the Nation (SWAN) V: UCLA Site, Study of Women's Health Across the Nation (SWAN) V: Chicago site, Study of Women's Health Across the Nation (SWAN): New Jersey, Change in Bone, Arthritis, Function: Hormones & Obesity, Study of Women's Health Across the Nation (SWAN) V: Coordinating Center, Study of Women's Health Across the Nation (SWAN) V: Central Laboratory, Study of Women's Health Across the Nation (SWAN V): Michigan Site, STUDY OF WOMEN'S HEALTH ACROSS THE NATION (SWAN) V: UC DAVIS/KAISER, Study of Women's Health Across the Nation(SWAN) V: Pittsburgh, Study of Women's Health Across the Nation - V
OpenAlex ID: W269359439