How data collection methods skew research findings and business decisions

A new epidemiology study reveals how selecting subjects based on their outcomes creates systematic bias in research—a problem that undermines conclusions in healthcare, finance, and AI. For companies relying on research to guide product development or policy decisions, the findings highlight why data collection methodology matters as much as sample size.

Originaltitel: Selection Bias with Outcome-dependent Sampling