[gov3009-l] One Day Course in Causal Inference
Mon, 18 Mar 2002 17:46:23 -0500 (EST)
Attached is announcement for a one-day course on causal inference that
will be given on April 13th by Professors James M. Robins, Miguel Hernan,
and Andrea Rotnitzky.
See you all Wednesday!
Saturday, April 13, 2002
Causal Inference from Observational and Experimental Studies.
Faculty: Professors James M. Robins, Miguel Hernan, and Andrea Rotnitzky
Harvard School of Public Health Program on Causal Inference in
Epidemiology and Allied Sciences
This one-day course covers statistical methods for causal inference, with
emphasis on complex longitudinal data. Topics covered will include the
-> Association vs. Causation: An Introduction to the Problem of
Causal Inference including a review of Point Treatment Studies,
Instrumental Variables, and Propensity Scores.
-> Counterfactual, structural equation, and directed acyclic graph
causal models for causality and their interrelationship;
-> Recent advances in instrumental variable methods with censored and
-> Recent advances in the analysis of the effect of sequential
actions, time-varying treatments, and direct and indirect effects using
inverse probability of treatment-weighted estimation of marginal
structural models and g-estimation of structural nested models.
The course should be of particular interest to researchers who are faced
with drawing causal inferences or making decisions concerning appropriate
treatments or interventions based on observational or experimental data,
including sociologists, economists, political scientists, epidemiologists,
statisticians, and operations research, machine learning, and artificial
Time: 9:30 a.m. - 4:00 p.m.
Please RSVP to Sue Perry (firstname.lastname@example.org) by Tuesday, April 9.
Location: Center for Basic Research in the Social Sciences
34 Kirkland St.
Cambridge, MA 02138
Directions: Red line to Harvard Square
Shigeo Hirano Political Economy and Government
email@example.com Harvard University