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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
Smoking can lead to weakening of the bones, damage to the eyes, and cancer in a number of tissues and organs
Weve come a long way from 19th-century beliefs that tobacco provided medical benefits, and from the mid-20th-century commercials proclaiming, More doctors smoke Camels than any other cigarette! At the same time, attitudes toward marijuana have mellowed and increasing legality has facilitated risk-free purchasing and consumption of cannabis products
12,13 However, the use of pack-year smoking history to determine lung cancer screening eligibility is based on historic precedent, emerging from its use as an eligibility criterion in the National Lung Screening Trial (NLST)
