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ICERM
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11th Floor
Providence, RI 02903
info@icerm.brown.edu
+1 (401) 863-5030

Video Archive

Data Efficient Causal Effect Estimation

Adith Swaminathan

Microsoft Research

January 16, 2019 • 12:00 AM

Models and Machine Learning for Causal Inference and Decision Making in Health Research

Nonparametric super-efficient estimators of treatment effects

David Benkeser

Emory University

January 16, 2019 • 12:00 AM

Models and Machine Learning for Causal Inference and Decision Making in Health Research

Estimating the effects of Meals on Wheels through Linkage to Claims Data So...

Roee Gutman

Brown University

January 15, 2019 • 12:00 AM

Models and Machine Learning for Causal Inference and Decision Making in Health Research

Bayesian nonparametrics and g-computation for causal inference in observati...

Jason Roy

Rutgers University

January 15, 2019 • 12:00 AM

Models and Machine Learning for Causal Inference and Decision Making in Health Research

Using systems models for causal inference- a data-assumption trade-off

Eleanor Murray

Harvard University SPH

January 15, 2019 • 12:00 AM

Models and Machine Learning for Causal Inference and Decision Making in Health Research

Challenges of Mediation Analysis in Neuroimaging Studies

Yi Zhao

Johns Hopkins University

January 15, 2019 • 12:00 AM

Models and Machine Learning for Causal Inference and Decision Making in Health Research

Microsimulation Models in Medical Decision Making – Calibration and Predict...

Stavroula Chrysanthopoulou

Brown University

January 15, 2019 • 12:00 AM

Models and Machine Learning for Causal Inference and Decision Making in Health Research

Agent-based models for evaluating HIV prevention modalities in sexual and i...

Brandon Marshall

Brown University School of Public Health

January 15, 2019 • 12:00 AM

Models and Machine Learning for Causal Inference and Decision Making in Health Research

Statistical approaches to understanding Tuberculosis transmission dynamics

Laura White

Boston University

January 15, 2019 • 12:00 AM

Models and Machine Learning for Causal Inference and Decision Making in Health Research

Bayesian Methods for Multiple Mediators- Relating Principal Stratification ...

Chanmin Kim

Boston University

January 14, 2019 • 12:00 AM

Models and Machine Learning for Causal Inference and Decision Making in Health Research

Toward Evaluation of Dissemination of HIV Prevention Interventions Among Ne...

Ashley Buchanan

University of Rhode Island

January 14, 2019 • 12:00 AM

Models and Machine Learning for Causal Inference and Decision Making in Health Research

Causal Inference- Why and How Bayes?

Michael Daniels

University of Florida

January 14, 2019 • 12:00 AM

Models and Machine Learning for Causal Inference and Decision Making in Health Research

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