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in this video I will introduce the basic concepts of statistical adjustment statistical adjustment is a very common practice employed in epidemiological research often with the purpose of reducing confounding bias the main requirement of statistical adjustment is that we have measured the potentially confounding variables of concern if we did not measure one or more of the potentially confounding variables then statistical adjustment is is no use to us first I will demonstrate the stratification method of statistical adjustment heres a two-by-two table for outcome by exposure status from a cohort study based on our data we find that the exposure is associated with a 50% greater likelihood of developing the outcome so now we have evidence that our exposure is associated with our outcome but then we take a look at our data and we notice that those in the exposure group tend to be older than those in the unexposed group not only that but we know that older people tend to be more likely