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Sunday, 08/04/2013
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Two-Layer Propensity Score Weighting: Multiple Treatments, Heterogeneous Treatment Effects, and a Causality Fallback Position
Amelia Haviland, Carnegie Mellon University; David Choi, Carnegie Mellon University
2:05 PM
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Avoiding Errors: Causal Effect Estimates for the Evaluation of Quality of Care Over Many Centers
Els Goetghebeur, Ghent University; Bart Van Rompaye, Ghent University ; Machteld Varewyck, Ghent University; Stijn Vansteelandt, Ghent University
2:20 PM
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Marginal Mean Weighting Through Stratification for Identifying Subpopulation-Specific Optimal Treatment Sequences
Guanglei Hong, The University of Chicago
2:25 PM
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Competing Versions of Ignorability Assumptions in Causal Mediation Analysis
Booil Jo, Stanford University; Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
2:45 PM
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Uses and Limitations of GEEs and GLMs for Social Network Data
Elizabeth Ogburn, Harvard University
5:05 PM
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Balancing Covariates via Propensity Score Weighting
Fan Li, Duke University; Alan Zaslavsky, Harvard University; Kari Lock Morgan, Duke University
5:25 PM
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Monday, 08/05/2013
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Statistical Methods for Mediation Analysis
Douglas Gunzler, Case Western Reserve University
7:01 AM
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A Data-Adaptive Approach to Modeling Propensity Scores for Inverse Weighted Estimation of Causal Effects
Yeying Zhu, Pennsylvania State University
8:35 AM
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Double-Robust Estimators: Slightly More Bayesian Than Meets the Eye?
Paul Gustafson, University of British Columbia
8:35 AM
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A Causal Framework for Intervention Evaluation with Survey Data
Robert Ashmead
8:35 AM
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Uncertainty in Propensity Score Estimation: Bayesian Methods for Variable Selection and Model-Averaged Causal Effects
Corwin Zigler, Harvard
8:55 AM
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Causal Inference of Maternal Antidepressant Use and Pregnancy Outcomes Using Propensity Scores for Multi-Level Treatment
Chang Yu, Vanderbilt University; Huiyun Wu, Vanderbilt University; William Dupont, Vanderbilt University; Richard C Shelton , The University of Alabama at Birmingham; Tina Hartert, Vanderbilt University; Edward Mitchel, Vanderbilt University; Jeffrey Horner, Vanderbilt University; Pingsheng Wu, Vanderbilt University; Hui Nian, Vanderbilt University School of Medicine
8:55 AM
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Bayesian Estimation of Average Causal Effect with Adjustment for Confounding
Chi Wang, University of Kentucky; Giovanni Parmigiani, Dana-Farber Cancer Institute; Francesca Dominici, Harvard School of Public Health
9:15 AM
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Effect Modification by Post-Treatment Variables in Mental Health Research
Alisa J Stephens, University of Pennsylvania; Marshall M. Joffe, University of Pennsylvania
9:35 AM
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A Propensity Score Design That Parallels a Large Randomized Experiment: Effect of Single Versus Double Embryo Transfer for in Vitro Fertilization
Cassandra Wolos Pattanayak, Harvard University; Donald B. Rubin, Harvard University
10:35 AM
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Improving Experiments by Optimal Blocking: Minimizing the Maximum Inter-Block Distance
Michael Higgins; Jasjeet S. Sekhon, University of California, Berkeley
10:35 AM
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Robust Estimation of Inverse Probability Weights for Marginal Structural Models
Kosuke Imai, Princeton University; Marc Ratkovic, Princeton University
10:55 AM
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Methodological Challenges in Mendelian Randomization Analysis
Tyler J VanderWeele, Harvard School of Public Health
11:00 AM
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Improving the Finite-Sample Performance of Doubly Robust Estimators Through Focused Nuisance Parameter Estimation
Karel Vermeulen, Ghent University; Stijn Vansteelandt, Ghent University
11:15 AM
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Use and Misuse of Observational Data: The Critical Importance of Sound Study Design
Allen Heller, Bayer HealthCare Pharmaceuticals
11:25 AM
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Improving Doubly Robust Estimation via Model Comparison
Zhiqiang Tan, Rutgers University
11:35 AM
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Ticks, Tweets, and Trails of Pain: Some Examples of Big Data in Business Research
James G Scott, The University of Texas at Austin
12:32 PM
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Assessing the Effect of Organ Transplantation on the Distribution of Residual Lifetime
David Michael Vock, University of Minnesota ; Anastasios (Butch) Tsiatis, North Carolina State University; Marie Davidian, North Carolina State University; Eric Laber, NC State University; Wayne M Tsuang, Duke University; C. Ashley Finlen Copeland, Duke University; Scott M. Palmer, Duke University
2:30 PM
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Causal Multiple Comparisons for Survival Data
Hong Zhu, The Ohio State University; Bo Lu, The Ohio State University
2:50 PM
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Estimating the Average Treatment Effect on Mean Survival Time When Treatment Is Time-Dependent and Censoring Is Dependent
Douglas Earl Schaubel, University of Michigan; Qi Gong, Amgen
2:55 PM
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Estimating the Average Treatment Effects of Nutritional Label Use Using Subclassification with Regression Adjustment
Michael Lopez, Brown University; Roee Gutman, Brown University
3:25 PM
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Tuesday, 08/06/2013
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Large Sample Randomization Inference of Causal Effects in the Presence of Interference
Lan Liu, UNC-CH; Michael G. Hudgens, The University of North Carolina at Chapel Hill
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Making Causal Inferences from Observed Web Visits
Stephen Iaquaniello, SapientNitro
7:01 AM
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Simple Techniques to Assess the Principal Strata Effect: Estimation, Sensitivity Analysis, and Bounds
Yasutaka Chiba, Kinki University School of Medicine
8:35 AM
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Using Factor Scores to Predict Metropolitan Growth: Regional Indicators
Merissa C. Piazza, Cleveland State University ; Iryna V. Lendel, Cleveland State University
8:35 AM
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Using Complications to Evaluate Neonatal Health Care: Controlling for Censoring by Death
Dylan S Small, University of Pennsylvania; Fan Yang, University of Pennsylvania; Jing Cheng, University of California, San Francisco; Scott Lorch, Children's Hospital of Philadelphia
8:55 AM
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The Survivor Average Causal Effect: Weaknesses and Alternatives
Marshall M. Joffe, University of Pennsylvania
9:35 AM
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On Partially Defined Outcomes in Experiments
Donald B. Rubin, Harvard University
9:55 AM
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Comparing Candidate General Surrogates of Protection
Erin Gabriel, Fred Hutchinson Cancer Research Center; M. Elizabeth Halloran, Fred Hutchinson Cancer Research Center
10:00 AM
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A Stochastic Intervention Approach to Causal Mediation in a Survival Setting
Wenjing Zheng, University of California, Berkeley; Mark Van der Laan, UC Berkeley - Biostatistics
10:55 AM
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Determining the Predictors for Negative HIV Outcomes Under a Suppressive ART Regime
Mireille Schnitzer, Harvard School of Public Health; Judith J. Lok, Harvard School of Public Health; Ronald J. Bosch, Harvard School of Public Health
11:15 AM
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Doubly Robust Testing and Estimation of Model-Adjusted Effect-Measure Modification with Complex Survey Data
Babette Brumback, University of Florida; Hao Zheng, SunTrust Bank; Xiaomin Lu, University of Florida; Erin Bouldin, Epidemiology Department, University of Washington; Michael Cannell, UNT Health Science Center; Elena Andresen, Oregon Health and Science University
11:20 AM
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Variable Importance and Prediction Methods for Longitudinal Problems with Missing Variables
Ivan Diaz, UC Berkeley; Alan Hubbard, UC Berkeley; Anna Decker, UC Berkeley; Mitch Cohen, UCSF
11:35 AM
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The Mathematics of Causal Inference
Judea Pearl, UCLA
2:05 PM
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Unbiased Estimation in the Presence of Left-Truncation and Time-Dependent Exposures
Alex Bliu, McGill University ; Erica E. M. Moodie, McGill University
2:05 PM
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Estimating Cumulative Failure Risk Under Hypothetical Interventions on Time-Varying Treatments in Complex Observational Studies
Jessica G. Young, Harvard School of Public Health
2:05 PM
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Exploring the Finite-Sample Properties of Inverse Probability Weighted and G Estimation of a Structural Nested Failure Time Model Under Positivity Violations
Ashley Isaac Naimi, McGill University; Stephen R. Cole, The University of North Carolina at Chapel Hill; Erica E. M. Moodie, McGill University; Jay Kaufman, McGill University
2:25 PM
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Structural Nested Mean Model for Clustered Outcomes
Jiwei He, University of Pennsylvania; Marshall M. Joffe, University of Pennsylvania
2:45 PM
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Restricted Estimation for More Efficient Causal Inference in Longitudinal Studies
Edward H. Kennedy, University of Pennsylvania; Marshall M. Joffe, University of Pennsylvania
3:05 PM
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Using School Lotteries to Evaluate the Value-Added Model
Jonah Deutsch, The University of Chicago
3:20 PM
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Wednesday, 08/07/2013
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Exploring the Sensitivity of Propensity Score Matching Analyses to Unobserved Covariates in the Context of an Intervention to Reduce Hospitalization Rates
Sitaram Vangala, UCLA Department of Medicine Statistics Core
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The Mathematics of Causal Inference
Judea Pearl, UCLA
7:03 AM
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Bayesian Causal Inference for Multiple Mediators
Chanmin Kim, University of Florida; Michael Daniels, The University of Texas at Austin; Joe Hogan, Brown University
8:35 AM
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Data-Driven Algorithms for Dimension Reduction in Causal Inference
Emma Persson; Ingeborg Waernbaum, Umeå University; Jenny Häggström, Umeå University; Xavier de Luna, Umeå University
8:35 AM
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Semiparametric Estimation of Path-Specific Effects in the Presence of Unmeasured Confounding and Exposure-Induced Confounding
Caleb Miles; Eric Tchetgen Tchetgen, Harvard University; Ilya Shpitser, University of Southampton
8:50 AM
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A Doubly Robust Adaptation of the Mann-Whitney Test to Adjust for Measured Confounding
Stijn Vansteelandt, Ghent University; Karel Vermeulen, Ghent University
9:25 AM
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Causal Inference in Epidemiology Using Bayesian Methods: The Example of Meta-Analysis of Statins and Fracture Risk
Lawrence C. McCandless, Simon Fraser University
9:35 AM
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Logrank Tests with the Inverse Probability of Treatment Weighting to Assess the Impact of Beta-Interferon Treatments in Delaying Disability Progression in Multiple Sclerosis
Mohammad Ehsanul Karim, University of British Columbia; Paul Gustafson, University of British Columbia; John Petkau, University of British Columbia; Afsaneh Shirani, University of British Columbia; Yinshan Zhao, University of British Columbia; Elaine Kingwell, University of British Columbia; Mia van der Kop, University of British Columbia; Joel Oger, University of British Columbia; Helen Tremlett, University of British Columbia
9:35 AM
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A Unified Approach for Estimation of a Treatment Effect When the Outcome Is Truncated by Death
Eric Tchetgen Tchetgen , Harvard University
9:50 AM
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Semiparametric Robust Methods for Biomarker Discovery Among Potential Confounders: A Marriage of Targeted Maximum Likelihood Estimation and Limma
Sara Kherad-Pajouh, University of California, Berkeley; Alan Hubbard, UC Berkeley; Cliona M. McHale, University of California at Berkeley; Luoping Zhang , University of California at Berkeley; Martyn T. Smith, University of California at Berkeley
9:50 AM
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Causal Inference for fMRI Time Series Data with Systematic Errors of Measurement in a Balanced On/Off Study of Social Evaluative Threat
Michael Sobel, Columbia University; Martin Lindquist, Johns Hopkins Bloomberg School of Public Health
9:50 AM
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A Bayesian Nonparametric Causal Model for Regression Discontinuity Designs
George Karabatsos, University of Illinois-Chicago; Stephen G. Walker, University of Kent
10:35 AM
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Blinding Assessment and the Placebo Effect: A Causal Inference Perspective
Zhiwei Zhang, Food and Drug Administration; Richard Kotz, Food and Drug Administration; Chenguang Wang, Johns Hopkins University; Shiling Ruan, Food and Drug Administration; Martin P. Ho, FDA/CDRH
10:35 AM
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Estimation of Causal Effects Using Instrumental Variables with Nonignorable Missing Covariates: Application to Effect of Type of Delivery Hospital on Premature Infants
Fan Yang, University of Pennsylvania; Scott Lorch, Children's Hospital of Philadelphia; Dylan S Small, University of Pennsylvania
10:35 AM
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Addressing Missing Outcome Data in Randomized Experiments: A Design-Based Approach
Donald P. Green, Columbia University; Holger L. Kern, University of South Carolina; Peter M. Aronow, Yale University
10:55 AM
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Marginal Structural Modeling in Comparative Effectiveness Research: Illustration in Diabetes Research
Romain Neugebauer, Kaiser Permanente
10:55 AM
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Robust Sensitivity Analysis Using Bayesian Nonparametric Modeling
Nicole Carnegie, Harvard University; Jennifer Hill, New York University
11:15 AM
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Model-Averaged Double Robust Estimation
Matthew Cefalu, Harvard University; Francesca Dominici, Harvard School of Public Health; Giovanni Parmigiani, Dana-Farber Cancer Institute
11:35 AM
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Integrative Modeling of Expression and Methylation Quantitative Trait Loci into Genetic Association Studies of Complex Diseases
Yen-Tsung Huang, Brown University
11:50 AM
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Mediation and Confounding
Tyler J VanderWeele, Harvard School of Public Health
2:05 PM
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Sensitivity Analyses for Parametric Causal Mediation Effect Estimation
Jeffrey Albert, Case Western Reserve Univ; Wei Wang, Bausch and Lomb, Inc.
2:05 PM
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Multiply Robust Estimator for a Population Mean with Incomplete Data
Peisong Han, University of Michigan; Lu Wang, Univeristy of Michigan
2:20 PM
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Causal Mediation Analysis on Failure Time Outcome Without Sequential Ignorability
Cheng Zheng, University of Washington; Xiao-Hua Andrew Zhou, University of Washington; Ross Prentice, University of Washington
2:35 PM
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Calibrating Sensitivity Analysis to Observed Covariates in Observational Studies
Jesse Yenchih Hsu, University of Pennsylvania; Dylan S Small, University of Pennsylvania
2:35 PM
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Latent Propensity Score for Average Causal Effect Estimation Allowing Covariate Measurement Error
Yi Huang, University of Maryland Baltimore County; Karen Bandeen-Roche, Johns Hopkins Bloomberg School of Public Health; Xiaoyu Dong, FDA; Andrew Raim, University of Maryland, Baltimore County; Cunlin Wang, OTS/CDER/FDA
2:50 PM
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Inclusion/Exclusion Criteria for Bias-Amplifying Covariates: A Sensitivity Analysis Framework
Marc Scott, New York University; Joel Middleton, Steinhardt School, New York University
3:05 PM
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Comparison of Three Methods for Dual Sensitivity Analysis
Masataka Harada, New York University; Jennifer Hill, New York University; Nicole Carnegie, Harvard University
3:20 PM
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Thursday, 08/08/2013
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Marginal Structural Cox Models with Case-Cohort Sampling
Hana Lee, The University of North Carolina at Chapel Hill; Michael G. Hudgens, The University of North Carolina at Chapel Hill; Jianwen Cai, The University of North Carolina at Chapel Hill; Stephen R. Cole, The University of North Carolina at Chapel Hill
8:35 AM
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Comparing Different Methods for Assessing When to Start Treatment
Bryan E Shepherd, Vanderbilt University; Nate Mercaldo, Vanderbilt University
9:00 AM
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Bayesian Inference for Causal Quantities via the Instrumental Variable Approach with a Binary Outcome and a Binary Treatment
Rodney Sparapani, Medical College of Wisconsin; Purushottan Laud, Medical College of Wisconsin; Jessica Pruszynski, Medical College of Wisconsin; Robert E. McCulloch, The University of Chicago Booth School of Business
9:35 AM
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