The authors find that contemporary GIS research increasingly integrates spatial statistics, modeling, and simulation to move ...

Introduction Repeated exposure to domestic violence (DV) is common among women; however, little is known about how women’s ...

A reader objects to a defense of disparate-impact theory.

Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times ...

What is this book about? Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that ...

Over the past decades, large-scale human genetic studies have identified numerous risk genes and variants associated with complex diseases and traits.

Eiko Fried has been appointed professor of Mental Health & Data Science. This combined chair neatly fits the view that understanding complex mental ...

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

Target RWE, a leader in advancing modern evidence generation for complex clinical and regulatory challenges, today announced the return of M. Alan Brookhart, Ph.D., to the organization as President of ...

Researchers at North Carolina State University have developed a new suite of statistical methods that dramatically improves the ability to pinpoint DNA changes responsible for important traits in ...

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...