Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing ...

Researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at Peking University People's Hospital have conducted ...

Rethinking the Path to Bladder Cancer Staging: Can Magnetic Resonance Imaging Speed Up Time to Receipt of Therapy in Patients With Muscle-Invasive Bladder Cancer? In the article that accompanies this ...

Data science methods can help overcome challenges in measuring and analyzing social determinants of health (SDoH), according to a paper published in The Lancet Digital Health, helping mitigate the ...

Alexander Christensen's recent study probably won't rewrite 40 years of history in the field of psychology, but he hopes that his research team's quantitative approach to developing and evaluating ...

This project was supported by Contract No. HQ0034-10-D-0003 TO#12 with the U.S. Department of Defense and Grant No. H98230-14-1-0116 from the National Security Agency. Any opinions, findings, ...

What makes the SLU health data science program unique? SLU's health data science program provides strong training in data collection, data cleaning and preprocessing, statistical analysis, and ...

As our economy, society and daily life become increasingly dependent on data, new college graduates entering the workforce need to have the skills to analyze data effectively and from multiple angles.

Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions. Earn ...

Hans-Gerd Janssen explores the reality of real-time analytical measurement. At HTC-19 in Leuven, Belgium, LCGC International spoke with Hans-Gerd Janssen from Unilever R and D, The Netherlands on his ...

Business investment in data science is one of the most important advances of the past decade. While some may argue data science has already worked its way into every industry, there are still areas ...