Greetings!<\/p>\n
We would like to promote another causal inference short course. This 2-day seminar\u00a0won the 2013 Causality in Statistics Education Award, given by the American Statistical Association. See the details below for more information:<\/p>\n
Causal Inference with Directed Graphs:\u00a0<\/strong>This seminar offers an applied introduction to directed acyclic graphs (DAGs) for causal inference. DAGs are a powerful new tool for understanding and resolving causal problems in empirical research. DAGs are useful for social and biomedical researchers, business and policy analysts who want to draw causal inferences from non-experimental data. The chief advantage of DAGs is that they are \u201calgebra-free,\u201d relying instead on intuitive yet rigorous graphical rules.<\/p>\n Instructor:\u00a0<\/strong>Felix Elwert, Ph.D.<\/a><\/p>\n Who should attend:\u00a0<\/strong>If you want to understand under what circumstances you can draw causal inferences from non-experimental data, this course is for you. Participants should have a good working knowledge of multiple regression and basic concepts of probability. Some prior exposure to causal inference (counterfactuals, propensity scores, instrumental variables analysis) will be helpful but is not essential.<\/p>\n Tuition:\u00a0<\/strong>The fee of $995.00 includes all seminar materials.<\/p>\n Date\/Location:\u00a0<\/strong>The seminar meets Friday, April 28 and Saturday, April 29 at Temple University Center City<\/a>, 1515 Market Street, Philadelphia, PA 19103.<\/p>\n