Casual Inference with Directed Graphs

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Date/Time
Date(s) - 04/20/2018 - 04/21/2018
9:00 am - 4:00 pm

Location
Temple University Center City

Categories


New seminar hosted by statistical horizons will offer an applied introduction to directed a cyclic graphs  for causal inference which are powerful new tool for understanding and resolving causal problems in empirical research.

The seminar will focus on building transferable intuition and skills for applied causal inference. We start by introducing the essential elements for causal reasoning and then use DAGs to discuss a range of important challenges in observational data analysis. Topics include: conditions for the identification of causal effects; d-separation; the difference between confounding, over-control, and selection bias.

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. 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.

Registration is $895 until March 20. To register please click HERE.

To know more information about the course please click HERE.

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