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When a study investigates many variables and then calculates a p-value for all of them, this can be criticized for making multiple comparisons. I’m not very statistically sophisticated, but a quick literature search informed me that correcting for multiple comparisons is not simple. There are debates about when and how to do this, which includes the Bonferroni correction. This article by Dr. Krysten Bold and colleagues about smoking cessation has 2 take-home points for us. First, we learn of some factors that are statistically associated with successfully stopping cigarette use. And secondly, we can learn a little bit about correcting for multiple comparisons.
Hi! Jim Phelps here for the Psychopharmacology Institute. First, the bottom line on smoking cessation: If your patient is going to use an electronic cigarette device, it’s probably better to make an abrupt switch as opposed to using both cigarettes and the e-cigarette while tapering down. Also,
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