Applying Bayess rule, we have odds(smoker | cancer) = odds(smoker) * p(cancer | smoker) / p(cancer | non-smoker) Rearranging terms, we can solve for the risk ratio: p(cancer | smoker) / p(cancer | non-smoker) = odds(smoker | cancer) / odds(smoker) = 16 Thats the answer I had in mind, but let me address an objection raised by one poll respondent, who chose Other because, You cant draw casual inferences from observational data without certain assumptions which Im unwilling to make. Thats true
In the coming years, the e-cigarette market is projected to continue its robust growth trajectory at a steady annual rate of 8.7%
Engineered to last
Additionally, some advanced devices feature quick-filling systems and long-lasting batteries, reducing the need for frequent maintenance
Right after you quit, your airways begin to see a decrease in inflammation, and the cilia little hair-like things that line them begin to work again after a smoke-induced paralysis
Cigarettes are uniquely deadly and smokers who switch to electronic cigarettes or long-term use of NRT should remember that the harm from cigarettes comes from the tar, and not the nicotine. Professor Kevin Fenton, national director of health and well-being at Public Health England, said the findings provided further evidence that switching to e-cigarettes can significantly reduce harm to smokers
