Ezzati, C
We have a little look at the cans here, which is pretty neat from the thumbnail from this email he received
Repeat these steps if necessary
In addition to altered T cells subpopulation (significantly more Th1 and Th17 cells), increased proinflammatory cytokines such as IFN-, IL2, IL6, TNF-, MCP-1, and MIP-1 also point to the role of an autoimmune reaction in PD pathogenesis [210, 211]
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
Not usually