Workshop on Causal inference for complex graphical structures

June 20-22, 2018

Program
 

Wednesday, June 20, 2018
13:30 - 14:00
Registration (Room 5345)


Meeting room(s) : 6254

14:00 - 15:00
Thomas S. Richardson
(University of Washington)
Nested Markov models
Abstract
15:00 - 16:00
Alexander Volfovsky
(Duke University)
Causal inference on networks: from experiments to observational studies
Abstract
16:00 - 16:30
Coffee break
16:30 - 17:30
Robin Evans
(University of Oxford)
Causal model selection and local geometry
Abstract

 

Thursday, June 21, 2018
09:30 - 10:00
Coffee & Croissants


Meeting room(s) : 6254

10:00 - 11:00
Ayesha Ali
(University of Guelph)
Doubly sparse regression for high dimensional data
Abstract
11:00 - 12:00
Niall M. Adams
(Imperial College London)
Statistical methods in cybernetwork security
Abstract
12:00 - 14:00
Lunch break
14:00 - 15:00
Michael Hudgens
(University of North Carolina at Chapel Hill)
Interference
Abstract
15:00 - 15:30
Coffee break
15:30 - 16:30
M. Elizabeth Halloran
(University of Washington)
Estimands and inference in cluster-randomized vaccine trials
Abstract

 

Friday, June 22, 2018
09:30 - 10:00
Coffee & Croissants


Meeting room(s) : 6254

10:00 - 11:00
Shomoita Alam
(McGill University)
Should a propensity score model be super? The utility of machine learning procedures for causal adjustment
Abstract
11:00 - 12:00
David Benkeser (Emory University)
Marco Carone (University of Washington)
Inference on vaccine sieve effects using machine learning
Abstract
12:00 - 14:00
Lunch break
14:00 - 15:00
Nicholas Chamandy
(Lyft)
Causal inference in a ridesharing network
Abstract
15:00 - 15:30
Coffee break
15:30 - 16:30
Daniel J. Graham
(Imperial College London)
The impact of speed cameras on road traffic accidents - (talk will be delivered by David A. Stephens)
Abstract

Last modified : Tuesday, June 19, 2018 14:30