Methods for Public Health Practice
Causal inference is the process of determining whether a relationship between two variables is causal, meaning that changes in one variable directly result in changes in another. This concept is crucial in research as it helps to establish the effects of interventions, exposures, or risk factors on health outcomes. Understanding causal relationships allows researchers and public health practitioners to make informed decisions about prevention and treatment strategies.
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