Young and Karr propose ways to improve how observational studies are conducted

S. Stanley Young, assistant director for bioinformatics at the National Institute of Statistical Sciences (NISS), and Alan Karr, director at NISS, have published a non-technical article in the September issue of Significance magazine pointing out that medical and other observational studies often produce results that are later shown to be incorrect, and—invoking a quality control perspective—suggest ways to fix the system.

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