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A machine learning approach to identify drivers of e-cigarette dependence Nominated Principal Investigator Michael Chaiton Independent Scientist, Centre for Addiction and Mental Health [email protected] Knowledge User Peter Selby Centre for Addiction and Mental Health Co-investigators Susan J Bondy Adam G Cole Tara E Elton-Marshall Hayley A Hamilton Sean Hill Scott Leatherdale Nikolaos Mitsakakis Robert M Schwartz Wei Wang Project Summary Understanding person-level drivers of current e-cigarette use (vaping) is crucial to guide tobacco policy, but prior studies have not fully identified these drivers due to the reliance on cross-sectional data, small sample sizes in many studies, lack of generalizability, and limitations of traditional data analyses

Impact of tobacco advertising and promotion on increasing adolescent smoking behaviours. Cochrane Database Syst Rev

By 1968, the Smoking Man had progressed enough in the hierarchy to push himself for the assassination of Martin Luther King Jr., concerned that King was "talking like a Maoist" and a threat to the American war effort in Vietnam

Following this guide will ensure that the bowl is consistently loaded with the right density of tobacco