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
ON/OFF Switch for Each Port
They treat your space with respect and clean up as they go
The study found methylation changes in cells taken from people who smoked, including cheek (which are directly exposed to smoke), cervical (which arent) and blood cells
Yes, the smoke filters are made to be practical and easy to use, and they are also quick to attach
5 Device malfunctions or battery failures have led to explosions that have resulted in substantial injuries to users, as well as house and car fires