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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
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Keyword Search Criteria: confounding returned 21 record(s)
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Sunday, 07/29/2018
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Nonparametric Causal Effects Based on Incremental Propensity Score Interventions
Edward Kennedy, Carnegie Mellon University; Matteo Bonvini, Carnegie Mellon University
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Brawn and Brains: a Robust and Powerful Approach to X-Inclusive Whole-Genome Association Studies
Bo Chen, University of Toronto; Lei Sun, University of Toronto; Radu V Craiu, University of Toronto
2:05 PM
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Regularization and Aliasing in the Estimation of Treatment Effect Moderation
Paul Richard Hahn, Arizona State University ; Carlos Carvalho, University of Texas; Jared S Murray, University of Texas at Austin
2:25 PM
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Semiparametric Theory for Causal Inference with Negative Controls
Xu Shi, Harvard University; Wang Miao, Peking University; Eric Tchetgen Tchetgen, The Wharton School at the University of Pennsylvania
2:45 PM
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Monday, 07/30/2018
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A Comparison of Modeling Approaches for Stepped-Wedge Cluster Randomized Trials That Include Multilevel Clustering, Confounding by Time, and Effect Modification
Lance Ford, University of Oklahoma Health Sciences Center; Julie A Stoner, University of Oklahoma Health Sciences Center; Daniel Zhao, OU Health Sciences Center; Tabitha Garwe, University of Oklahoma Health Sciences Center; Ann Chou, University of Oklahoma Health Sciences Center; Daniel Duffy, University of Oklahoma-Tulsa
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Instrumental Variable Methods for Comparing Cancer Survival Outcomes
Fei Wan, University of Arkansas for Medical Sciences; Dylan Small, University of Pennsylvania; Nandita Mitra, University of Pennsylvania
9:35 AM
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Sensitivity Analysis for Unmeasured Confounding in Meta-Analyzes
Maya Mathur, Harvard University; Tyler VanderWeele, Harvard University
11:05 AM
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A Comparison of Modeling Approaches for Stepped-Wedge Cluster Randomized Trials That Include Multilevel Clustering, Confounding by Time, and Effect Modification
Lance Ford, University of Oklahoma Health Sciences Center; Julie A Stoner, University of Oklahoma Health Sciences Center; Daniel Zhao, OU Health Sciences Center; Tabitha Garwe, University of Oklahoma Health Sciences Center; Ann Chou, University of Oklahoma Health Sciences Center; Daniel Duffy, University of Oklahoma-Tulsa
11:55 AM
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A Robust Multiple Imputation Approach to Causal Inference with Confounding by Indication
Roderick J Little, University of Michigan; Tingting Zhou, University of Michigan; Michael Elliott, University of Michigan
2:55 PM
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Tuesday, 07/31/2018
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Analysis in Case-Control Sequencing Association Studies with Different Sequencing Depths
Sixing Chen, Harvard University; Xihong Lin, Harvard University
8:35 AM
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Assessing Sensitivity to Unmeasured Confounding with Multiple Treatments and a Binary or Survival Outcome: A Bayesian Approach
Liangyuan Hu, Icahn School of Medicine at Mount Sinai; Chenyang Gu, Harvard Medical School; Michael Lopez , Skidmore College
2:30 PM
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The Causal Effect of a Catch and Shoot in the NBA
Katherine Louise Evans, Verily Life Sciences
2:35 PM
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Multivariate Thinking and the Introductory Statistics Course: Preparing Students to Make Sense of a World Full of Observational Data
Nicholas J. Horton, Amherst College; Sarah C Anoke, Harvard TH Chan School of Public Health; Brendan Seto, Amherst College
2:45 PM
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A Comparison of Bayesian and Monte Carlo Sensitivity Analysis for Unmeasured Confounding
Lawrence McCandless, Simon Fraser University; Paul Gustafson, University of British Columbia
2:55 PM
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Wednesday, 08/01/2018
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Accounting for Unobserved Covariates with Varying Degrees of Estimability in High-Dimensional Data
Chris McKennan, University of Chicago; Dan Nicolae, University of Chicago
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Using Twin Study Data to Identify Causal Effects Under Latent Confounding
Yige Li, Harvard School of Public Health; Zhichao Jiang, Princeton University; Zhi Geng, Peking University
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Ggdag and Confoundr: R Packages for Causal Inference with DAGs and Data
Malcolm Barrett
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EXTENDED SENSITIVITY ANALYSIS for HETEROGENEOUS UNMEASURED CONFOUNDING with an APPLICATION to SIBLING STUDIES of RETURNS to EDUCATION
Raiden Hasegawa, The Wharton School, University of Pennsylvania; Colin Fogarty, Massachusetts Institute of Technology
9:35 AM
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Evaluating Different Analytic Strategies to Translate Real World Data to Robust Evidence for Decision Making
Hongwei Wang, AbbVie Inc; Weili He, AbbVie; Yabing Mai, AbbVie, Inc; Meijing Wu, AbbVie; Dajun Tian, Chiltern
2:05 PM
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Thursday, 08/02/2018
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Regional Air Quality Assessment That Adjusts for Meterological Confounding
Shuyi Zhang, Peking University; Song Xi Chen, Peking University; Bin Guo, Southwestern University of Finance and Economics; Wei Lin, Peking University; Hengfang Wang, Iowa State University
9:20 AM
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Bayesian Sensitivity Analysis to Unmeasured Confounding for Misclassified Data
Joon Jin Song, Baylor University; Qi Zhou, Baylor University; Yoo-Mi Chin, Baylor University; James Stamey, Baylor University
10:35 AM
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