As rare disease trials face persistent feasibility challenges, Bayesian designs are gaining momentum by enabling more ...

When outcome selection and prioritisation are defined early in development, the evidence base supports continuity from trial ...

A base year is the first of a series of years in an economic or financial index. Base years are also used to measure the ...

The paper, published recently in PLOS One, describes an investigation of 112 ostrich eggshell fragments dating back more than ...

Survival analysis anticipates the expected lifespans of individuals as well as the timing of other events. Learn about its pros and cons.

Champion Data will put a greater emphasis on tracking AFL ball movement in season 2026, while all state leagues and Under 18s games will get significant upgrades to their statistical captures for the ...

Major League Equivalencies are not plug-and-play projections, so here is another method to forecast the MLB outcomes for ...

Bayesian statistical models use prior data to update the probability of a hypothesis as new evidence emerges. Image credit: PeopleImages / Shutterstock.com Bayesian statistical models could help ...

Background A more nuanced understanding of behavioural responses to incentives over time, particularly after they are removed, could guide more effective interventions. In this study, we build on the ...

An international research team used high-resolution electroluminescence imaging to quantify type-C cracks in 100 PV modules after 11 years of operation, linking crack distribution to real-world power ...

Background Adults with Tourette syndrome (ATS) face increased risks of self-injury behaviours (SIBs) and suicidality, yet research has largely focused on biological factors. Despite stigma being a ...