How measurement errors skew health research and what it costs

A new study reveals that imperfect data collection—a universal problem in medical research—systematically biases how scientists measure patient change over time. For pharmaceutical companies, health insurers, and regulators relying on clinical trial data to make billion-dollar decisions, the findings suggest current analytical methods may be masking real treatment effects or creating false ones.

Originaltitel: Target parameters and bias in non-causal change-score analyses with measurement errors