(Illustration by David Parkins) |
Statistical pitfalls of personalized medicine
“Causality is hard to study and difficult to prove,” says statistician Stephen Senn — and our failure to understand it is contributing to false hopes about the potential of personalized medicine. Senn calls out lazy language, arbitrary dichotomies, inappropriate yardsticks and ever-changing human physiology as some of the issues that stymie drugs in clinical trials.
Nature | 10 min read |
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Wednesday, November 28, 2018
Personalized Medicine
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