Fred Hutch Cancer Center biostatistician Peter Gilbert, PhD, received the 2025 Marvin Zelen Leadership Award in Statistical Science from Harvard University. The award recognizes Gilbert’s ...

Statistical machine learning is at the core of modern-day advances in artificial intelligence, but a Rochester Institute of Technology professor argues that applying it correctly requires equal parts ...

A century ago, two oddly domestic puzzles helped set the rules for what modern science treats as "real": a Guinness brewer charged with quality control and a British lady insisting she can taste ...

Statistical methods in psychological science form the backbone of empirical inference, enabling the translation of behavioural observations into rigorous conclusions. Traditional approaches such as ...

Widely available, trustworthy government statistics are essential for policy makers and program administrators at all levels of government, for private-sector decision makers, for researchers, and for ...

Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...

Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have ...

Purdue’s innovative Master of Science in Data Science (MSDS) is an accessible, skills-focused master’s designed to meet the needs of professionals who have some background in data science and want to ...

Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...

Welcome to a realm where knowledge transcends boundaries. My approach merges Aristotelian holistic wisdom with Platonic unity, rejecting fragmentation in mathematical sciences. Guiding students, I ...

Statistical Learning is a crucial specialization for those pursuing a career in data science or seeking to enhance their expertise in the field. This program builds upon your foundational knowledge of ...