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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

This ensures a steady flow during production

Korean Philip Morris did not disclose exact production volumes but stated that a single machine can produce hundreds of packs per minute

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Cutler used to smoke cigarettes

The chief of the OHP community and statewide interventions section explained that despite the lack of documentation, the OHP believes this review was completed