JSM 2017 Online Program

Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme

Keyword Search Criteria: Causal inference returned 13 record(s)

Sunday, 07/30/2017

A Causal Inference Approach for Estimating Health Effects at Low Air Pollution Levels
Georgia Papadogeorgou; Francesca Dominici, Harvard University
4:50 PM

Monday, 07/31/2017

Average Causal Effect Estimation Allowing Covariate Measurement Error - Method Review
Zhou Feng; Elande Baro, FDA; Yi Huang, UMBC
2:05 PM

Tuesday, 08/01/2017

Counterfactual-Based Causal Inference for N-Of-1 Time Series
Eric J. Daza, Stanford University School of Medicine, Stanford Prevention Research Center

When Should We Use Linear Fixed Effects Regression Models for Causal Inference with Longitudinal Data?
Kosuke Imai, Princeton University; In Song Kim, MIT
9:00 AM

Counterfactual-Based Causal Inference for N-Of-1 Time Series
Eric J. Daza, Stanford University School of Medicine, Stanford Prevention Research Center
9:20 AM

Learning heterogeneity in causal inference using sufficient dimension reduction
Wenbo Wu, University of Oregon; Wei Luo, Baruch College; Yeying Zhu, University of Waterloo
9:25 AM

The Central Role of Stability in Causal Inference
Peng Ding, University of California, Berkeley
9:50 AM

"Methodological Challenges for Handling Unmeasured Confounders in Causal Inference with Social Science Data
Reagan M Rose, Harvard University; Luke Miratrix, Harvard University; Aaron Kaufman, Harvard University; Jason Anastasopoulos, University of Georgia
9:50 AM

Machine Learning Methods to Improve Causal Inference
Elizabeth Stuart, Johns Hopkins University
2:05 PM

Wednesday, 08/02/2017

Robust Causal Inference with Continuous Instruments Using the Local Instrumental Variable Curve
Edward H Kennedy, Carnegie Mellon University; Dylan Small, University of Pennsylvania
2:25 PM

Thursday, 08/03/2017

Bounded, Efficient and Triply Robust Estimation of Average Treatment Effects Using Instrumental Variables
Linbo Wang, University of Washington; Eric Tchetgen Tchetgen, Harvard University
9:05 AM

A Causal Inference Analysis of the Effect of Wildland Fire Smoke on Ambient Air Pollution Levels and Health Burden
Ana Rappold, US EPA; Brian Reich, NCSU; Alexandra Larsen, North Carolina State University
9:25 AM

Variable Selection and Estimation in Causal Inference Using a Bayesian Group Lasso Approach
Brandon Koch, University of Minnesota, Division of Biostatistics; Julian Wolfson, University of Minnesota, Division of Biostatistics; David Vock, University of Minnesota
9:50 AM