Introductive remarks on causal inference

ROMIO, SILVANA A.; Department Of Medical Informatics Erasmus Me Department Of Statistics - University Of Milano-Bicocca, BELLOCCO, RINO; Department Of Medical Epidemiology And Biostatistics - Karolinska Institutet & CORRAO, GIOVANNI; Department Of Statistics - University Of Milano-Bicocca
One of the more challenging issues in epidemiological research is being able to provide an unbiased estimate of the causal exposure-disease effect, to assess the possible etiological mechanisms and the implication for public health. A major source of bias is confounding, which can spuriously create or mask the causal relationship. In the last ten years, methodological research has been developed to better de_ne the concept of causation in epidemiology and some important achievements have resulted...