Early in 2021, many people began sharing that they experienced unexpected menstrual
bleeding after SARS-CoV-2 inoculation. We investigated this emerging phenomenon of …

Background and aims Nutrient resorption from the senesced to the green leaves can help a
plant re-use elements, thus improving adaptability and persistence. How the resorption of …

Linear mixed models are commonly used in healthcare-based association analyses for
analyzing multi-site data with heterogeneous site-specific random effects. Due to regulations for …

Objective We developed and evaluated a privacy-preserving One-shot Distributed
Algorithm to fit a multicenter Cox proportional hazards model (ODAC) without sharing patient-level …

Importance Human papillomavirus (HPV) vaccine hesitancy or refusal is common among
parents of adolescents. An understanding of public perceptions from the perspective of …

Integrating real-world data (RWD) from several clinical sites offers great opportunities to
improve estimation with a more general population compared to analyses based on a single …

Importance Alcohol consumption is associated with adverse oncologic and treatment
outcomes among individuals with a diagnosis of cancer. As a key modifiable behavioral factor, …

Background Observational studies incorporating real-world data from multiple institutions
facilitate study of rare outcomes or exposures and improve generalizability of results. Due to …

Adaptive management on rainfed agricultural ecosystem is crucial to improve field productivity
and soil carbon sequestration under climate change, particularly in semiarid east African …

We developed a One-shot Distributed Algorithm for Cox proportional-hazards model to
analyze Heterogeneous multi-center time-to-event data (ODACH) circumventing the need for …