Online Program Home
My Program

Legend:
CC = Vancouver Convention Centre   F = Fairmont Waterfront Vancouver
* = applied session       ! = JSM meeting theme

Activity Details

164 Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West 209
SPEED: Causal Inference and Related Methodology — Contributed Speed
Section on Statistics in Epidemiology
Chair(s): Miguel Hernan, Harvard School of Public Health
Poster Presentations for this session.
10:35 AM Estimating Average Causal Treatment Effects Utilizing Fractional Imputation When Confounders Are Subject to Missingness

Nathaniel Corder, North Carolina State University; Shu Yang, North Carolina State University
10:45 AM A Comparison of Methods to Estimate Survival Curves Under Time-Varying Treatments
Lucia C. Petito, Harvard T.H. Chan School of Public Health; Sonja A. Swanson, Erasmus Medical Center; Miguel Hernan, Harvard School of Public Health
10:50 AM Sufficient Cause Interaction for Ordinal and Categorical Outcomes

Jaffer Zaidi; Tyler VanderWeele, Harvard University
10:55 AM Combining Inverse Probability Weighting and Multiple Imputation to Adjust for Selection Bias in Electronic Health Records-Based Research
Tanayott Thaweethai, Harvard T.H. Chan School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health; David Arterburn, Kaiser Permanente Washington Health Research Institute
11:00 AM Efficient Design and Analysis of Cluster Randomized Trials

Hengshi Yu, University of Michigan, Ann Arbor; Fan Li, Duke Univeristy; John A. Gallis, Duke University; Elizabeth L. Turner, Duke Global Health Institutes
11:05 AM Maximum Likelihood Estimation of the K Parameter in the Poly-K Trend Test for Time-to-Event Data
Anna Korpak, VA ERIC; Barbara McKnight, University of Washington
11:10 AM A Bayesian Nonparametric Approach to Estimate Causal Effects of Mediation in the Presence of Nonignorable Missingness
Dandan Xu, US Food and Drug Administration; Michael Daniels, University of Florida
11:15 AM Multivariate Mediation Analysis with a Multi-Categorical Exposure Variable: An Application to Explore Racial and Ethnic Disparities in Obesity

Qingzhao Yu, Louisiana State University Health Sciences Ctr; Lin Zhu, Louisiana State University Health Sciences Ctr; Bin Li, Louisiana State University
11:20 AM Balancing Scores Weighing Methods and Sensitivity Analysis to Unfold Health Disparity

Chen-Pin Wang, University of Texas Health San Antonio
11:30 AM Power Evaluation for Covariate Balancing Propensity Score Methods

Byeong Yeob Choi, University of Texas Health Science Center at San Antonio; Chen-Pin Wang, University of Texas Health San Antonio; Joel Michalek, University of Texas Health Science Center at San Antonio; Jonathan Gelfond, University of Texas Health San Antonio
11:35 AM Embedding Observational Studies into Hypothetical Fractional-Factorial Experiments

Nicole Pashley, Harvard University; Marie-Abele Bind, Harvard University
11:40 AM Using Validation Data to Adjust the Inverse Probability Weighting Treatment Effect Estimator for Misclassified Treatment

Danielle Braun, Harvard T. H. Chan School of Public Health; Corwin Zigler, Harvard T.H. Chan School of Public Health; Francesca Dominici, Harvard T. H. Chan School of Public Health; Malka Gorfine, Tel Aviv University
11:45 AM Leveraging Multiple Study Designs and Statistical Methods to Evaluate Comparative Effectiveness of Asthma Medications

Tebeb Gebretsadik, Vanderbilt University Medical Center; Pingsheng Wu, Vanderbilt University; Rees L Lee, U. S. Navy; Amber M Evans, Health ResearchTX LLC; Tan Ding, Vanderbilt University Medical Center; Nicholas M Sicignano, Health Research Tx ; Ann Wu, Harvard Medical School; Carlos Iribarren, Kaiser Permanente Division of Research; Butler Melissa, Kaiser Permanente; Chang Yu, Vanderbilt University Medical Center; William Dupont, Vanderbilt University Medical Center; Christina Fox, Health ResearchTx; Tina V Hartert, Vanderbilt University Medical Center
11:50 AM Gaussian Process Propensity Scores for Multiple Treatment Regimes

Brian Vegetabile, UC Irvine; Daniel L. Gillen, University of California, Irvine; Hal Stern, University of California, Irvine
12:00 PM Accounting for Variation in Instrumental Effect Estimates Leads to More Precise Estimates of Causal Effects in MR Studies

Richard Barfield, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center, USA
12:05 PM Estimating Causal Effect by Difference in Difference via Random Forest

Tomoshige Nakamura, Graduate School of Science and Technology, Keio University; Mihoko Minami, Keio University
12:10 PM Assessing Therapeutic Equivalence of Brand and Generic Drugs Using Observational Data

Lamar Hunt, Johns Hopkins Bloomberg SPH & OptumLabs Visiting Fellows; Daniel Scharfstein, Johns Hopkins University; Irene Murimi, Johns Hopkins Bloomberg SPH & OptumLabs Visiting Fellows; Jodi Segal, Johns Hopkins Bloomberg SPH & OptumLabs Visiting Fellows; Ravi Varadhan, Johns Hopkins University; Ramin Mojtabai, Johns Hopkins Bloomberg SPH