A longitudinal machine-learning approach to predicting nursing home closures in the U.S.
Our study demonstrates that U.S. nursing home closures, while relatively rare events (approximately 5% of facilities over the past decade),...
longitudinal
Reevaluating the role of education on cognitive decline and brain aging in longitudinal cohorts across 33 Western countries
GBD 2019 Dementia Forecasting Collaborators. Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an...
Association between poverty, low educational level and smoking with adolescent’s working memory: cross lagged analysis from longitudinal data
1 Introduction 1.1 Background In developing nations, the specter of poverty continues to loom large, profoundly impacting the well-being and...
