This document discusses association and causation in epidemiology. It defines association as the concurrence of two variables more often than expected by chance. There are different types of association, including spurious, indirect, and direct association. Causation requires considering criteria like temporality, strength of association, specificity, consistency, biological plausibility, and coherence. Together, these criteria help determine whether an observed association between factors is likely causal in nature. The goal of epidemiology is to identify potential causes of disease by studying associations between exposures and outcomes.