The effect of "Factory" farms on farmers and animals, catching up with John Ioannidis and the controversy over evidence-based care, the intimate connections of mind and body, and a look at gene drives - CRISPR on steroids?
In the first days of the pandemic, our thinking was greatly influenced by models of viral spread and the Imperial College. Also, IHME work comes readily to mind. As we enter months four and five, we have more and more objective evidence from our experience with COVID-19. So the question now is: Should we make policy based upon the models, or the evidence?
While we often have good information on what makes a population healthy, it's difficult to translate those recommendations to the patient sitting before us. A new study suggests we look at the diversity of outcomes -- or the heterogenicity -- differently.
Physicians have to apply population-based guidelines to individuals. How do they know which to use? P-values don't work and eminence is not evidence. Can a measure of a studies "fragility" be an answer?