Analysis of 244 million Americans refines the understanding of long COVID

Stanford data scientists analyzed 14.4 billion health insurance records from 244 million Americans to study long COVID. Using a synthetic-control design, they found conventional methods overestimate health effects by 98% between four and 12 months post-infection. The study, published in PNAS, demonstrates that rigorous design is essential to avoid confounding bias in large-scale medical research.

Source: Analysis of 244 million Americans refines the understanding of long COVID — Medical Xpress

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