Federated Learning (FL) has received attention due to its data privacy-preserving mechanism. As a decentralized Machine Learning framework, all clients collectively train a model and a server gathers the model parameters to form a global model. Every client can apply the global model to tackle...

Model diagnostics and forecast evaluation are closely related tasks, with the former concerning in-sample goodness (or lack) of fit and the latter addressing predictive performance out-of-sample. We review the ubiquitous setting in which forecasts are cast in the form of quantiles or...

Objectives: Cardiovascular disease has become a major public health challenge in developing countries. The goal of this study is to compare socioeconomic status (SES) gradients of cardiovascular risk factors both within and between China and India.Methods: We used data from the China Health and...

This paper summarizes and compares measures of chronic diseases and medical conditions in the Health and Retirement Study (HRS) and its sister surveys from other countries: the English Longitudinal Study of Ageing (ELSA), the Survey of Health, Ageing, and Retirement in Europe (SHARE), the Korean...