Workshop on Discovery of causal structure in high dimensionsJune 25-27, 2018Program |
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Monday, June 25, 2018 |
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09:00 - 09:30
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Registration (Room 5345) and Coffee & Croissants (Room 6245)
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09:30 - 10:15
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Yang Ning
(Cornell University ) High-Dimensional propensity score estimation via covariate balancing | Abstract |
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10:15 - 10:30
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Coffee break
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10:30 - 11:15
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Denis Talbot
(Université Laval) A Bayesian causal effect estimation algorithm for adjusting for confounding | Abstract |
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11:15 - 12:00
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Arvid Sjölander
(Karolinska Institutet) The case-time-control design. Basic theory and extensions | Abstract |
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12:00 - 13:30
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Lunch break
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13:30 - 14:15
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Thomas S. Richardson
(University of Washington) Structural nested mean models for binary treatments and outcomes | Abstract |
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14:15 - 15:00
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Ali Shojaie
(University of Washington) The reduced PC-Algorithm: Improved causal structure learning in high dimensions | Abstract |
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15:00 - 15:30
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Coffee break
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15:30 - 16:45
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Nicolai Meinshausen
(ETH Zürich) Distributional robustness from a causal point of view | Abstract |
Tuesday, June 26, 2018 |
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09:00 - 09:30
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Coffee & Croissants
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09:30 - 10:15
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Peter Schulam
(Johns Hopkins University) Reliable decision-support using counterfactual models | Abstract |
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10:15 - 10:30
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Coffee break
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10:30 - 11:15
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Julian Wolfson
(University of Minnesota) Covariate selection with group lasso and doubly robust estimation of causal effects | Abstract |
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11:15 - 12:00
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Susan Shortreed
(Kaiser Permanente Washington Health Research Institute) Variable selection for causal inference: outcome-adaptive lasso | Abstract |
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12:00 - 13:30
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Lunch break
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13:30 - 14:15
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Eric Laber
(NC State University ) Optimal treatment allocations in space and time for online control of an emerging infectious disease | Abstract |
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14:15 - 15:00
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James Robins
(Harvard School of Public Health) |
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15:00 - 15:30
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Coffee break
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15:30 - 16:45
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Min-ge Xie
(Rutgers University) Uncertainty quantification of treatment regime in precision medicine by confidence distributions | Abstract |
Wednesday, June 27, 2018 |
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09:00 - 09:30
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Coffee & Croissants
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09:30 - 10:15
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Guido W. Imbens
(Stanford Graduate School of Business) Matrix completion methods for causal panel data models | Abstract |
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10:15 - 10:30
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Coffee break
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10:30 - 11:15
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Stefan Wager
(Stanford University) Quasi-oracle estimation of heterogeneous causal effects | Abstract |
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11:15 - 12:00
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Walter Dempsey
(Harvard University) The stratified micro-randomized trial design: sample size considerations for testing nested causal effects of time-varying treatments | Abstract |
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12:00 - 13:30
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Lunch break
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13:30 - 14:15
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Michael Rosenblum
(Johns Hopkins Bloomberg School of Public Health) Estimating the protective effect of longitudinal drug concentration in pre-exposure prophylaxis for HIV prevention | Abstract |
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14:15 - 15:00
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Mireille Schnitzer
(Université de Montréal) Longitudinal variable selection in causal inference with collaborative targeted minimum loss-based estimation | Abstract |
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15:00 - 15:30
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Coffee
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Last modified : Tuesday, June 26, 2018 10:31