5 papers
Bayesian Joint Modeling of Longitudinal Symptomatology Scale Responses and Fall Outcomes via Heterogeneous Latent Transition Analysis
Mingyan Yu, Zhenke Wu, Michelle M. Hood +3
The Study of Women's Health Across the Nation (SWAN) has followed women for over 30 years, from midlife premenopause until later life. The study has 16 surveys at approximately 2 y…
Dynamic Prediction of Alternating Recurrent Events via Neural Network
Abigail Loe, Susan Murry, Zhenke Wu
Alternating recurrent events -- event-times of a specific nature that trigger a secondary refractory period -- occur in a wide-range of fields, including behavioral science, crimin…
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…
Joint Modeling of Multiple Longitudinal Biomarkers and Survival Outcomes via Threshold Regression: Variability as a Predictor
Mingyan Yu, Zhenke Wu, Michelle M. Hood +3
Longitudinal biomarker data and health outcomes are routinely collected in many studies to assess how biomarker trajectories predict health outcomes. Existing methods primarily foc…
Random Forest for Dynamic Risk Prediction or Recurrent Events: A Pseudo-Observation Approach
Abigail Loe, Susan Murray, Zhenke Wu
Recurrent events are common in clinical, healthcare, social and behavioral studies. A recent analysis framework for potentially censored recurrent event data is to construct a cens…