


Distributed lag inspired machine learning for predicting vaccine-induced changes in COVID-19 hospitalization and intensive care unit admission

Interaction of temperature and relative humidity for growth of COVID-19 cases and death rates

Resampling methods for generating continuous multivariate synthetic data for disclosure control

Forecasting respiratory tract infection episodes from prescription data for healthcare service planning

Dependence measures for model selection in singular spectrum analysis

Information theoretic approaches to principal component selection

Assessing privacy risks in population health publications using a checklist-based approach

Disclosure risk reduction for generalized linear model output in a remote analysis system
