Causal inference in observational settings seeks to estimate the effect of exposures, treatments or interventions on outcomes in the absence of random assignment. Unlike experimental designs, ...

Study reveals how sensitive health information about individual patients could be extracted from diagnostic medical AI models ...

Overview A carefully selected reading list helps candidates build strong foundations in probability, statistics, derivatives, ...

Two of four tested giraffes seemed to be able to mentally combine numbers to get one of their favorite treats: carrots. But ...

The premise of Medicaid as a policy laboratory rests on generating knowledge through rigorous evaluation. Yet, too often, evaluation has functioned only as a compliance exercise. Instead, it should be ...

GPT-5.6 Sol Pro disproved a 20-year-old statistics conjecture in 90 minutes that GPT-5.5 couldn't crack in over 20 hours — a ...

There is a version of the AI story that gets all the attention: frontier models, billion-parameter training runs, the race ...

There is an old joke in privacy law that “anonymous data” is data that has not yet met a motivated graduate student. OK, maybe not that old. That joke is no longer funny. Or accurate. Today, anonymous ...

Inflationary episodes fundamentally alter the economic landscape within which consumers make purchasing decisions, yet the ...

Malay essay writing constitutes a critical yet persistently challenging competency for students in Malaysian Independent Chinese Secondary Schools (MICSS), where Mandarin serves as the primary medium ...

Gwen Shapira shares how teams are scaling AI features using PostgreSQL for mission-critical apps. She explains how to ...

Recent evidence on cash transfers and child health is mixed, suggesting that cash transfers may be a necessary but ...