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Dear colleagues:

This is a friendly reminder that you are invited to register for the quickly approaching CSBS Methods Series virtual workshop, Causal Inference with Observational Data, on Thursday, May 28, 2020. You may attend one or more sessions throughout the day presented by:

Jacob Bowers, Associate Professor of Political Science and Statistics, University of Illinois

Jonathan Livengood, Associate Professor of Philosophy, University of Illinois

Lucia Petito, Assistant Professor of Preventive Medicine (Biostatistics), Northwestern University

Rodrigo Pinto, Assistant Professor of Economics, University of California Los Angeles

Felix Thoemmes, Associate Professor of Human Development, Cornell University

Participants will have the opportunity to learn from various disciplines about different approaches to causal inference. The workshop will conclude with a panel discussion.

REGISTER NOW

Zoom details will be provided following your registration.

Schedule

9 – 10 a.m.
"Basics of Graphical Causal Modeling" by Prof. Livengood
Introduces the formalism of graphical causal models and how to interpret them, discusses some results in causal search, and discusses the problem of mixed populations. 

10 – 11 a.m.
"Emulating Randomized Trials using ‘Found’ Data" by Prof. Petito
Introduces participants to the estimation of intention-to-treat and per-protocol effects in randomized trials with survival outcomes, and how to extend these concepts to research done in “found” data using the target trial concept.

11 a.m. – noon

"Beyond the Average Treatment Effect: Causal Inference on Networks and Across Thousands of Strata" by Prof. Bowers

When an experimental treatment can propagate across a network, it is difficult to define a single "average treatment effect" even if we want to learn about the causal effect of the treatment. When an experiment occurs in thousands of sites, policy makers' interest may lie in detecting effects in specific sites rather than in estimating an average effect within each site. This brief talk shows how a testing-based approach to causal inference can be used to complement estimation-based approaches in these complex but common situations.

 

Noon – 1:30 p.m.
Lunch Break

 

1:30 – 2:30 p.m.
"Causal Thinking and Methods in the Field of Psychology" by Prof. Thoemmes
Discusses the history of causal thinking in the field of psychology, juxtaposed with developments outside the field, and how current examples from psychological research could be improved with considerations of causal effects.

 

2:30 – 3:30 p.m.

"Identifying Causal Effects Using Instrumental Variables" by Prof. Pinto

Addresses economic incentives, human behavior, and the design of social experiments and shows how instrumental variables can be applied to examine some important social experiments that fight poverty.

 

3:30 – 4:30 p.m.

Panel Discussion


Thank you for considering this invitation.


Sincerely,


Cristina Alvarez-Mingote, Associate Director, CSBS  

   on behalf of

Brent Roberts, Professor of Psychology and Director, CSBS 

 
 
 
 
 

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