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In a world teeming with health data—from smart watch accelerometry to millions of hospital system electronic records—how do researchers find out which medical treatments truly work? Biostatistician Rebecca Hubbard discusses the messiness of real-world data, the limits of randomized control trials and how both of these powerful—but imperfect—methods are essential for building trustworthy evidence in public health.
By Brown University School of Public Health4.9
1515 ratings
In a world teeming with health data—from smart watch accelerometry to millions of hospital system electronic records—how do researchers find out which medical treatments truly work? Biostatistician Rebecca Hubbard discusses the messiness of real-world data, the limits of randomized control trials and how both of these powerful—but imperfect—methods are essential for building trustworthy evidence in public health.

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