Longitudinal data analysis encompasses a range of statistical methodologies that examine data collected over extended periods, enabling researchers to disentangle temporal effects and dynamic ...
The joint modelling framework integrates longitudinal data—comprising repeated measurements from individual subjects—with time-to-event data, which captures the time until a particular event of ...
State Longitudinal Data Systems (SLDS) paired with AI and machine learning present incredible opportunities for enhancing public services by integrating education, workforce, health, and other agency ...
ATLANTA--(BUSINESS WIRE)--Cotiviti has introduced Caspian Insights, a unified data and analytics platform that represents the most comprehensive data set in the healthcare ecosystem. Caspian leverages ...
Given recent cuts to federal funding for the Common Education Data Standards (CEDS) and the steep cuts to other education programs, we need to imagine a world where the federal government is largely ...
Over the past 15 years, the World Bank’s premier longitudinal household survey project, the Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA), supported national ...
The IMF’s World Revenue Longitudinal Database (WoRLD) tracks government revenue trends in 193 countries since the early 1990s. This invaluable resource offers policymakers, researchers, and the public ...
Circulating tumor DNA as a predictor of treatment response to neoadjuvant chemotherapy in stage 2/3 rectal cancer without high risks: Subset analysis from the COPEC trial. Circulating tumor DNA (ctDNA ...
Officials at Velsera say that the company has expanded the capabilities of its Global Data Network (GDN), which they describe as a federated, secure data ecosystem that allows life sciences ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results