Intro to Public Health
Causal inference is the process of determining whether a relationship between two variables is causal, meaning that changes in one variable directly cause changes in another. It is essential for understanding the effects of interventions and exposures on health outcomes. This concept is particularly important in public health and epidemiology, where establishing cause-and-effect relationships can guide effective decision-making and policy development.
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