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today in epi 204 Iamp;#39;d like to talk about effect modification which Iamp;#39;m sure youamp;#39;ve all heard about before so now we want to go into a little bit of detail about how to do it and how to interpret the coefficients and what you need to do to make sure that theyamp;#39;re giving you meaningful numbers okay so to start with remember that effect modification describes a scenario where the effect of your exposure the magnitude of that effect is different between for example men and women between children and the elderly etc and it is not a bias it doesnamp;#39;t mean that somethingamp;#39;s wrong for example if you do a study that only has children thatamp;#39;s fine right you donamp;#39;t have a biased effect estimate it merely doesnamp;#39;t apply to the elderly itamp;#39;s in fact very useful information when you can detect effect modification so the basic rule is that confounding is your enemy but effect modification is your friend now let me just illustrate
