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CC = Colorado Convention Center   H = Hyatt Regency Denver at Colorado Convention Center
* = applied session       ! = JSM meeting theme

Activity Details

88 Sun, 7/28/2019, 5:05 PM - 5:50 PM CC-Hall C
SPEED: Causal Inference and Related Methodology Part 2 — Contributed Poster Presentations
Section on Statistics in Epidemiology
Chair(s): Te-Ching Chen, CDC/NCHS
Oral Presentations for this session.
1: Instrumental Variable Estimation of Weighted Local Average Treatment Effects
Byeong Yeob Choi, University of Texas Health Science Center at San Antonio
2: Two-Stage Residual Inclusion Under the Additive Hazards Model - an Instrumental Variable Approach with Application to SEER-Medicare Linked Data
Andrew Ying, University of California, San Diego; Ronghui Xu, University of California, San Diego; James Murphy, University of California, San Diego
3: Xtgeebcv: a Stata Command for Bias-Corrected Sandwich Variance Estimation for GEE Analyzes of Cluster Randomized Trials
John A Gallis, Duke University; Fan Li, Duke University; Elizabeth L Turner, Duke University
4: Sensitivity Analysis and the Odds Ratio
Julian Chan, Weber State University
5: On the Identification of Individual Principal Stratum Direct, Natural Direct and Pleiotropic Effects Without Cross-World Independence Assumptions
Jaffer Zaidi; Tyler VanderWeele, Harvard University
6: Mediation Analysis with a Censored Mediator in a Case–control Study
Jian Wang, UT MD Anderson Cancer Center; Jing Ning, The University of Texas MD Anderson Cancer Center; Sanjay Shete, UT MD Anderson Cancer Center
7: Conditional Process Analysis: Moderated Mediation Model of Perceived Ethnic Discrimination and Binge Drinking Among Recent Latino Immigrant Youth
Zoran Bursac, Florida International University; Miguel Angel Cano, Florida International University; Seth J Schwartz, University of Miami
8: A Modified Partial Likelihood Score Method for Cox Regression with Covariate Error Under the Internal Validation Design
Xin Zhou, Yale School of Public Health; David Zucker, The Hebrew University of Jerusalem; Xiaomei Liao, AbbVie; Yi Li, University of Michigan School of Public Health; Donna Spiegelman, Yale School of Public Health
9: Multivariate One-Sided Testing in Matched Observational Studies as an Adversarial Game
Peter Lucas Cohen, Massachusetts Institute of Technology; Matt A. Olson, The Voleon Group; Colin B. Fogarty, Massachusetts Institute of Technology
10: Permutation Weighting
Drew Dimmery, Facebook; David Arbour, Adobe Research
12: Estimation of Mediation Effect for High-Dimensional Omics Mediators with Application to the Framingham Heart Study
Tianzhong Yang, The University of Minnesota Twin Cities; Jingbo Niu, Baylor College of Medicine; Han Chen, the University of Texas Health Science Center at Houston; Peng Wei, The University of Texas MD Anderson Cancer Center
13: Bias and Efficiency in a Matched Observational Study with Varying Cluster Size
Eric KH Chow, Quantitative Sciences Unit, Stanford University School of Medicine; Rajani Kaimal, Quantitative Sciences Unit, Stanford University School of Medicine; Vedant Pargaonkar, Interventional Cardiology, Stanford University School of Medicine; Sara Bouajila, Stanford University School of Medicine; Katharine Sears-Edwards, Cardiovascular Medicine, Stanford University School of Medicine; Jennifer Tremmel, Interventional Cardiology, Stanford University School of Medicine; Manisha Desai, Stanford University Quantitative Sciences Unit
14: Testing for Weak Instruments in Two Sample Summary Data Multivariable Mendelian Randomisation
Eleanor Sanderson, University of Bristol; Jack Bowden, University of Bristol
15: Estimating Uncertainty in Weighted Competing Risk Analyzes
Amber Hackstadt, Vanderbilt University Medical Center; Jonathan Chipman, Vanderbilt University; Christianne L. Roumie , Vanderbilt University Medical Center, Veteran Administration Tennessee Valley VA Health ; Adriana M. Hung, Vanderbilt University Medical Center; Jea Young Min , Vanderbilt University Medical Center; Carlos G Grijalva , Vanderbilt University Medical Center; Marie R Griffin, Vanderbilt University Medical Center; Robert Greevy, Vanderbilt University
16: Person as Population: a Longitudinal View of Single-Subject Causal Inference for Analyzing Self-Tracked Health Data
Eric J. Daza, Stanford Prevention Research Center, Stanford University School of Medicine
17: Causal Mediation Analysis Using Gradient Boosting Machines: Developing Methods and Software
Brian G. Vegetabile, RAND Corporation; Donna L. Coffman, Temple University; Daniel F. McCaffrey, Educational Testing Service
18: Hypothesis Testing in Nonlinear Function on Scalar Regression with Application to Child Growth Study
Mityl Biswas, NC State Univ
19: Identify Consensus Among Match Makers: a Clustering Aggregation Perspective
Yumin Zhang, Purdue University; Arman Sabbaghi, Purdue University