0. Introduction<\/p>\n\n\n\n
handouts<\/a> and recordin<\/a>g<\/p>\n\n\n\n 1. Statistical measures<\/p>\n\n\n\n handouts<\/a> and recording<\/a><\/p>\n\n\n\n 2. Randomness and probability<\/p>\n\n\n\n handouts<\/a> and recording<\/a><\/p>\n\n\n\n 3. Confidence intervals and p-values<\/p>\n\n\n\n handouts<\/a> and recording<\/a><\/p>\n\n\n\n 4. Observational studies and covariate adjustment<\/p>\n\n\n\n handouts<\/a> and recording<\/a><\/p>\n\n\n\n 5. Linear regression<\/p>\n\n\n\n handouts<\/a> and recording<\/a><\/p>\n\n\n\n 6. Logistic regression<\/p>\n\n\n\n handouts<\/a> and recording<\/a><\/p>\n\n\n\n 0. Introduction<\/p>\n\n\n\n handouts<\/a> and recording<\/a> <\/p>\n\n\n\n 1. Association vs causation<\/p>\n\n\n\n handouts<\/a> and recording<\/a><\/p>\n\n\n\n 2. Estimation of causal effects<\/p>\n\n\n\n handouts<\/a> and recording<\/a> <\/p>\n\n\n\n 3. Directed Acyclic Graphs<\/p>\n\n\n\n handouts<\/a> and recording<\/a><\/p>\n\n\n\n 4. Marginal causal effects<\/p>\n\n\n\n handouts<\/a> and recording<\/a> <\/p>\n\n\n\n 5. Instrumental variables and Mendelian randomization<\/p>\n\n\n\n handouts<\/a> and recording<\/a><\/p>\n\n\n\n 0. Introduction<\/p>\n\n\n\n handouts<\/a> and recording<\/a> <\/p>\n\n\n\n 1. Cohort studies I<\/p>\n\n\n\n handouts<\/a> and recording<\/a><\/p>\n\n\n\n 2. Case-control studies <\/p>\n\n\n\n handouts<\/a> and recording<\/a> <\/p>\n\n\n\n 3. Cohort studies II<\/p>\n\n\n\n handouts<\/a> and recording<\/a><\/p>\n\n\n\n 4. Nested case-control studies<\/p>\n\n\n\n handouts<\/a> and recording<\/a><\/p>\n\n\n\n 5. Case-cohort studies<\/p>\n\n\n\nIntroduction to Causal Inference<\/h2>\n\n\n\n
Design of Epidemiological Studies<\/h2>\n\n\n\n