Causation and Causal Inference in Epidemiology

摘要: Concepts of cause and causal inference are largely self-taught from early learning experiences. A model causation that describes causes in terms sufficient their component illuminates important principles such as multicausality, the dependence strength on prevalence complementary causes, interaction between causes.Philosophers agree propositions cannot be proved, find flaws or practical limitations all philosophies inference. Hence, role logic, belief, observation evaluating is not settled. Causal epidemiology better viewed an exercise measurement effect rather than a criterion-guided process for deciding whether present not.