HSCI 330 Lecture 8: HSCI 330 Week 8
16 Jan 2019
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Document Summary
Confounding: form of bias that concerns how a measure of association may change in value depending on whether variables other than the (e) are controlled in the analysis. Simpson"s paradox illustrates a general principle about the relationship between two variables e and d when a third variable c is also considered. The principle is the basis of the data-based criterion for confounding, which is described in the activities that follow. (reversal) Confounding: is a distortion in a measure of effect, e. g. , rr, that may arise because we fail to control for other variables, for example, smoking history, that are previously known risk factors for the health outcome being studied. Type of bias that may occur when we fail to take into account other variables (ex. Age, gender in attempting to assess e d relationship) If we ignore the effect of a confounder, we will obtain an incorrect, or biased, estimate of the measure of effect.
