Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...
Evolutionary biologist Daniel Lieberman takes the long view of physical activity. His name has been connected to running and human evolution ever since his seminal Nature study “Endurance running and ...
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Smarter hypothesis testing with statistics: How e-values can improve scientific research
During his Ph.D. research, mathematician Tyron Lardy worked on a new approach to hypothesis testing. Instead of the traditional p-value, he uses so-called e-values. These turn out to be more ...
The twin deficits hypothesis has long been central to macroeconomic debates, positing that a government’s chronic fiscal deficit may generate or exacerbate a current account deficit. This ...
New findings contradict previous notions about sugar's role in the onset of diabetic cataracts. Using an animal model that more closely recapitulates type 2 diabetes in humans, the research team found ...
Sequential hypothesis testing is a methodological framework that systematically evaluates data as it is acquired, enabling decisions to be made as soon as sufficient evidence is collected. This ...
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