Keyword Search
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Keyword Search Criteria: causal returned 116 record(s)
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Sunday, 07/30/2017
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Bayesian Causal Forests
Richard Hahn, University of Chicago; Jared S Murray, Carnegie Mellon University; Carlos Carvalho, University of Texas at Austin
2:05 PM
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Comparing ITT Estimates with Adherence Adjusted Estimates Based on the Rubin Causal Model
Sreelatha Meleth, RTI International; Barry Eggleston, RTI International
2:50 PM
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Data integration using identification and analysis of a statistical causal network to hypothesize stable pathways through different biological levels
Azam Yazdani, The University of Texas School of Public Health, Houston; Akram Yazdani, Icahn School of Medicine at Mount Sinai
3:35 PM
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Matching Estimators for Causal Effects of Multiple Treatments
Anthony Scotina, Brown University; Roee Gutman, Brown University
4:35 PM
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Empirical Likelihood Estimator of Causal Effect under Subclassification
Junvie Pailden, Southern Illinois University Edwardsville
4:35 PM
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Causal Modeling of Exposure to Repetitive Head Impacts on Tractrography Outcomes
Yorghos Tripodis, Boston University
4:45 PM
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A Parametric Bayesian Approach to Estimating Causal Treatment Effect on Medical Costs
Arman Oganisian, University of Pennsylvania; Andrew Spieker, University of Pennsylvania; Jason A Roy, University of Pennsylvania; Nandita Mitra, University of Pennslyvania
4:50 PM
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A Causal Inference Approach for Estimating Health Effects at Low Air Pollution Levels
Georgia Papadogeorgou; Francesca Dominici, Harvard University
4:50 PM
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Multiply Robust Estimation for Causal Treatment Effect and Average Treatment Effect Among Treated When Treatment Heterogeneity Exists
Lu Wang, University of Michigan; Peisong Han, University of Waterloo; Daniel Almirall, University of Michigan
5:05 PM
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An Integrative Genomics Approach to Infer Gene Expression Statistical Causal Network
Akram Yazdani, Icahn School of Medicine at Mount Sinai ; Azam Yazdani, The University of Texas School of Public Health, Houston; Panos Roussos, Icahn School of Medicine at Mount Sinai
5:05 PM
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Making Sense of Sensitivity: Extending Omitted Variable Bias
Carlos Leonardo Kulnig Cinelli, UCLA; Chad Hazlett, UCLA; Michael Tzen, UCLA
5:05 PM
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Exploring Effect Heterogeneity in Multi-Centre Trials with First-Party Measurements of Mediators and Confounders
David Judkins, Abt Associates, Inc.
5:20 PM
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Integrating the Evidence from Evidence Factors in Observational Studies
Bikram Karmakar, University of Pennsylvania; Benjamin French, Radiation Effects Research Foundation; Dylan Small, University of Pennsylvania
5:20 PM
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Monday, 07/31/2017
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Causal Inference Using Bayesian Spatial Downscaling
Alexandra Larsen, North Carolina State University ; Brian Reich, NCSU; Ana Rappold, US EPA
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Quantifying the Causal Effects of Conservative Fourth Down Decision Making in the National Football League
Derrick Yam, Skidmore College; Michael J. Lopez, Skidmore College
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Consumer Spending and Federal Reserve
Gaurav Sharma, The EMMES Corporation; Bhanu Shandilya, Mixpanel; Aditi Pradeep Sharma, UMBC
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Instrumental Variables Approaches in Hurdle Data
Jacqueline Mauro, Carnegie Mellon University
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Child Abuse on Trial: a Statistical Analysis of Shaken Baby Syndrome
Maria Cuellar, Carnegie Mellon University
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Bayesian Adjustment for Confounding When Estimating Average Causal Effects for Time-To-Event Outcomes
Li Xu; Arnold Stromberg, Department of Statistics, University of Kentucky; Chi Wang, Cancer Biostatistics, University of Kentucky
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Efficient causal structure learning in high dimensions
Arjun Sondhi, University of Washington; Ali Shojaie, University of Washington
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Interventional Effects for Mediation Analysis with Multiple Mediators
Stijn Vansteelandt, Ghent University; Rhian Daniel, London School of Hygiene & Tropical Medicine
8:35 AM
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Randomization inference with general interference and censoring
Wen Wei Loh, UNC; Michael Hudgens, UNC
8:35 AM
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Estimating Average Treatment Effects with a Response-Informed Calibrated Propensity Score
David Cheng, Harvard T.H. Chan School of Public Health; Abhishek Chakrabortty, University of Pennsylvania; Ashwin N. Ananthakrishnan, Massachusetts General Hospital; Tianxi Cai, Harvard University
8:35 AM
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Need for New Statistical Methods to Save Lives on Highways
Eric Donnell, The Pennsylvania State University; R. J. Porter, VHB; Larry Cook, University of Utah; Raghavan Srinivasan, University of North Carolina - Highway Safety Research Center; Joseph Kufera, University of Maryland
8:35 AM
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Consumer Spending and Federal Reserve
Gaurav Sharma, The EMMES Corporation; Bhanu Shandilya, Mixpanel; Aditi Pradeep Sharma, UMBC
8:45 AM
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Estimating Vaccine Effects in Longitudinal Studies of Interconnected Populations
Forrest W Crawford, Yale School of Public Health
8:55 AM
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Parametric Mediational G-Formula Approach to Mediation Analysis with Time-Varying Exposures, Mediators, and Confounders: An Application for Smoking, Weight, and Blood Pressure
Sheng-Hsuan Lin, Columbia Mailman School of Public Health
8:55 AM
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Bayesian Adjustment for Confounding When Estimating Average Causal Effects for Time-To-Event Outcomes
Li Xu; Arnold Stromberg, Department of Statistics, University of Kentucky; Chi Wang, Cancer Biostatistics, University of Kentucky
9:00 AM
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Efficient causal structure learning in high dimensions
Arjun Sondhi, University of Washington; Ali Shojaie, University of Washington
9:05 AM
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Identification and Semiparametric Estimation of Causal Effects for Contagious Processes
Elizabeth L Ogburn, Johns Hopkins University
9:15 AM
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Joint Indirect Standardization When Only Marginal Distributions Are Observed in the Index Population
Yifei Wang, University of California, Davis; Diana Miglioretti, University of California, Davis; Daniel Tancredi, University of California, Davis
9:15 AM
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Estimation of Causal Effects in Randomized Trials of Infectious Disease Prevention with General Interference
Nicole Bohme Carnegie, University of Wisconsin-Milwaukee
9:35 AM
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Organic Direct and Indirect Effects with Post-Treatment Common Causes of the Mediator and the Outcome
Judith Lok, Harvard T H Chan School of Public Health
9:35 AM
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Estimating Causal Effects from a Randomized Clinical Trial When Noncompliance Is Measured with Error
Jeffrey Boatman; David Vock, University of Minnesota; Joseph Koopmeiners, University of Minnesota; Eric Donny, University of Pittsburgh
9:35 AM
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High-Dimensional Propensity Score via Covariate Balancing
Yang Ning, Cornell University; Sida Peng, Cornell University ; Kosuke Imai, Princeton University
10:35 AM
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A Markov Switching Causal-Noncausal Autoregressive Model with Application to Economic Bubbles
Anton Lobach, University of Rhode Island. Dept. of Computer Science and Statistics; Gavino Puggioni, University of Rhode Island, Department of Computer Science and Statistics
10:50 AM
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Quantifying the Causal Effects of Conservative Fourth Down Decision Making in the National Football League
Derrick Yam, Skidmore College; Michael J. Lopez, Skidmore College
10:55 AM
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Diagnosing the Diagnostic: a Simulation Study of the Omnibus Test for Covariate Balance
Lauren Vollmer, Mathematica Policy Research
11:05 AM
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Learning Causal Networks via Additive Faithfulness
Kuang-Yao Lee, Yale University; Tianqi Liu, Yale University; Bing Li, Pennsylvania State University; Hongyu Zhao, Yale University
11:15 AM
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Child Abuse on Trial: a Statistical Analysis of Shaken Baby Syndrome
Maria Cuellar, Carnegie Mellon University
11:25 AM
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Instrumental Variables Approaches in Hurdle Data
Jacqueline Mauro, Carnegie Mellon University
11:45 AM
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Massive Meta-Analysis with Experiments as Instruments: Applications to Peer Effects in Networks
Dean Eckles, MIT; Alexander Peysakhovich, Facebook
2:05 PM
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PCORI: Advancing Methods for Analyzing Electronic Health Records Data
David H. Hickam, Patient Centered Outcomes Research Institute
2:05 PM
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Instrumental Variable Methods for Censored Data
Douglas Lehmann, University of Miami; Yun Li, University of Michigan; Douglas Earl Schaubel, University of Michigan
2:05 PM
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Average Causal Effect Estimation Allowing Covariate Measurement Error - Method Review
Zhou Feng; Elande Baro, FDA; Yi Huang, UMBC
2:05 PM
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Robust Estimation of Weighted Average Treatment Effects for a Target Population
Yebin Tao, Eli Lilly and Company; Haoda Fu
2:20 PM
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Unbiased Estimation Under Network Interference
Daniel L Sussman, Boston University; Edoardo M. Airoldi, Harvard University
2:30 PM
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Design of Experiments for Networks with Interference
Alexander Volfovsky, Duke University
2:55 PM
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Sufficient Cause Interaction for Ordinal Outcomes
Jaffer Zaidi, Harvard University; Tyler J. VanderWeele, Harvard University
3:20 PM
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Tuesday, 08/01/2017
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Estimating the Protective Effect of Longitudinal DrugConcentration in Pre-Exposure Prophylaxis for HIV Prevention
Claire Ruberman, Johns Hopkins University; Jon Steingrimsson, Johns Hopkins University; Michael Rosenblum, Johns Hopkins University; Craig Hendrix, Johns Hopkins School of Medicine
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Estimating Causal Effects of Air Quality on Non-Hodgkin's Lymphoma
Keith Zirkle, Virginia Commonwealth University; David C. Wheeler, Virginia Commonwealth University
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Development of a Web-Based Tool for Comparative Effectiveness Research Using Observational Data
Yi Zhang, Medical Technology and Practice Patterns Institute; Mae Thamer, Medical Technology and Practice Patterns Institute; Onkar Kshirsagar, Medical Technology and Practice Patterns Institute
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Random Effects Models for Meta-Analysis of Causal Effects in Randomized Trials with Noncompliance
Jincheng Zhou, University of Minnesota; Haitao Chu, University of Minnesota
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A Principal Stratification Approach to Evaluate the Causal Effect of A Patient Activation Intervention For Bone Health Outcomes
YIYUE LOU, University of Iowa; Michael P. Jones, University of Iowa; Stephanie W. Edmonds, University of Iowa; Fredric D. Wolinsky , University of Iowa; Peter Cram, University of Iowa
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Optimal Tradeoffs in Matched Designs for Observational Studies
Samuel Pimentel, Wharton; Rachel R. Kelz, University of Pennsylvania
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Marginalization Over Uncertainty in Propensity Score Design Using Bayesian Analysis
Shirley Liao; Corwin Zigler, Harvard University
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Counterfactual-Based Causal Inference for N-Of-1 Time Series
Eric J. Daza, Stanford University School of Medicine, Stanford Prevention Research Center
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A Gaussian Process Approach for Estimating Treatment Assignment Mechanisms
Brian Vegetabile, University of California, Irvine; Hal Stern, University of California, Irvine
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On Estimating Regression-Based Causal Effects Using Sufficient Dimension Reduction
Wei Luo, Baruch College; Yeying Zhu, University of Waterloo; Debashis Ghosh, Colorado School of Public Health
8:35 AM
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Development of a Web-Based Tool for Comparative Effectiveness Research Using Observational Data
Yi Zhang, Medical Technology and Practice Patterns Institute; Mae Thamer, Medical Technology and Practice Patterns Institute; Onkar Kshirsagar, Medical Technology and Practice Patterns Institute
8:35 AM
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Random Effects Models for Meta-Analysis of Causal Effects in Randomized Trials with Noncompliance
Jincheng Zhou, University of Minnesota; Haitao Chu, University of Minnesota
8:50 AM
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Robust Estimation in Additive Hazards Models
Oliver Dukes, Ghent University; Stijn Vansteelandt, Ghent University; Torben Martinussen, University of Copenhagen; Eric Tchetgen Tchetgen, Harvard University
8:50 AM
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A Principal Stratification Approach to Evaluate the Causal Effect of A Patient Activation Intervention For Bone Health Outcomes
YIYUE LOU, University of Iowa; Michael P. Jones, University of Iowa; Stephanie W. Edmonds, University of Iowa; Fredric D. Wolinsky , University of Iowa; Peter Cram, University of Iowa
8:55 AM
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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
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Bayesian models and the parametric G-formula in time-dependent settings: robustness and sensitivity analysis
Arielle K Anglin, Department of Biostatistics, University of Pennsylvania; Jason A Roy, University of Pennsylvania
9:05 AM
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Optimal Tradeoffs in Matched Designs for Observational Studies
Samuel Pimentel, Wharton; Rachel R. Kelz, University of Pennsylvania
9:15 AM
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Stable Balancing Weights for Marginal Structural Models
María de los Angeles Resa Juárez, Columbia University; José R. Zubizarreta, Columbia University
9:15 AM
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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
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Recovering Causal Effects from an Experimental Benchmark Using Multilevel Matching
Luke Keele, Georgetown University; Samuel Pimentel, Wharton
9:25 AM
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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
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Honest inference for marginal treatment effects using penalised bias-reduced double-robust estimation
Vahe Avagyan, Universiteit Gent-Vakgroep Toegepaste W & I; Stijn Vansteelandt, Ghent University
9:35 AM
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Distance Metrics for Measuring Joint Dependence with Application to Causal Discovery
Shubhadeep Chakraborty, Texas A & M University; Xianyang Zhang, Texas A&M University
9:35 AM
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Bayesian Estimation of Optimal Differencing Operator in Cointegrated Systems
Anindya Roy, University of Maryland at Baltimore County; Tucker McElroy, U. S. Census Bureau
9:35 AM
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A Bayesian Approach to Optimal Treatment Allocation
Saptarshi Chatterjee, Northern Illinois University; Sanjib Basu, University of Illinois At Chicago
9:35 AM
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The Central Role of Stability in Causal Inference
Peng Ding, University of California, Berkeley
9:50 AM
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"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
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A Gaussian Process Approach for Estimating Treatment Assignment Mechanisms
Brian Vegetabile, University of California, Irvine; Hal Stern, University of California, Irvine
9:55 AM
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Optimal Individualized Early Warning for Inpatient Adverse Events
Hossein Soleimani, Johns Hopkins University; Suchi Saria, Johns Hopkins University
10:35 AM
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The New ICH Guideline on Estimands: An Academic Perspective
Eric Tchetgen Tchetgen, Harvard University ; Estelle Russek-Cohen, U.S. Food and Drug Administration; Scott Emerson, University of Washington ; Susan Ellenberg, University of Pennsylvania ; T. Shun Sato, University of Kyoto
10:35 AM
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Inferring Causal Effects with Invalid Instruments in Mendelian Randomization
Hyunseung Kang, Economics, Stanford Graduate School of Business, Stanford University
10:35 AM
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Causal Structure Learning in High-Dimensional Settings
Preetam Nandy, University of Pennsylvania
11:05 AM
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Testing for Causality Between Two Time Series Using a Parametric Bootstrap
Thomas Fisher, Miami University; Zequn Sun, Medical University of South Carolina
11:50 AM
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Marginalization Over Uncertainty in Propensity Score Design Using Bayesian Analysis
Shirley Liao; Corwin Zigler, Harvard University
11:50 AM
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Machine Learning Methods to Improve Causal Inference
Elizabeth Stuart, Johns Hopkins University
2:05 PM
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Causal Estimands in Randomized Trials
Miguel Hernan, Harvard TH Chan School of Public Health
3:05 PM
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Identifiability and Inference of Causal Effects with High-Dimensional and Invalid Instruments
Changjing Wu, Peking University; Minghua Deng, Peking University; Wei Lin, Peking University
3:20 PM
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Causal Models for Numerical Variables in Media Planning
Igor Mandel, Telmar Inc.
3:35 PM
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Wednesday, 08/02/2017
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Estimating Principal Casual Effects with Multiple Imputations
Myung Shin Sim, UCLA; Chi-Hong Tseng, UCLA
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Cyclic Nonlinear Structural Equation Models
Mario Nagase, Osaka University
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Estimating Causal Effects from Using Augmented Inverse Probability Weighted Estimators When Noncompliance Is Measured with Error
David Vock, University of Minnesota; Jeffrey Boatman; Joseph Koopmeiners, University of Minnesota
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Personalizing Mobile Health Interventions
Susan A Murphy, University of Michigan
8:35 AM
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Randomization Inference for Peer Effects
Xinran Li, Harvard University; Peng Ding, University of California, Berkeley; Qian Lin, Harvard University; Dawei Yang, Peking University; Jun Liu, Harvard University
8:35 AM
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Estimating Causal Effects from Using Augmented Inverse Probability Weighted Estimators When Noncompliance Is Measured with Error
David Vock, University of Minnesota; Jeffrey Boatman; Joseph Koopmeiners, University of Minnesota
8:55 AM
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Should Quality Ratings Be Adjusted for Effects of Patient Socioeconomic Characteristics?
Alan M. Zaslavsky, Harvard University Medical School
9:00 AM
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Causal Inference in a Big Data World - The Roadmap
Laura B Balzer, Harvard T.H. Chan School of Public Health
9:05 AM
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Estimation in Multisite Randomized Trials with Heterogeneous Treatment Effects
Daniel Schwartz, University of Chicago; Stephen Raudenbush, University of Chicago
9:20 AM
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Forward Modeling: It's Essential for Palaeoclimatology
Andrew C Parnell, University College Dublin
10:35 AM
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An Optimal Covariate-Adaptive Design to Balance Tiers of Covariates
Fan Wang; Feifang Hu, George Washington University
11:50 AM
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Deformation Model Transfer via Equivalent Effects of Lurking Variables in Additive Manufacturing
Arman Sabbaghi, Purdue University; Qiang Huang, University of Southern California
2:05 PM
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Penalized Spline of Propensity Methods for Treatment Comparisons
Roderick J Little, University of Michigan; Tingting Zhou, University of Michigan; Michael R. Elliott, University of Michigan
2:05 PM
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Does the Nuclear Balance Matter?
Jane Pinelis, Johns Hopkins University Applied Physics Lab; James Scouras, Johns Hopkins University Applied Physics Laboratory
2:05 PM
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Dynamic Functional Connectivity in Nonstationary Task-Related Brain Imaging and Neural Recording Data
Natalie Klein, Carnegie Mellon University; Robert E. Kass, Carnegie Mellon University; Valerie Ventura, Carnegie Mellon University; Jordan Rodu, Carnegie Mellon University
2:20 PM
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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
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Thursday, 08/03/2017
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Instrumental Variable Restrictive Mean Survival Time Models
Xin Wang, University of Michigan; Douglas Earl Schaubel, University of Michigan
8:50 AM
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Granger Causality Networks for Categorical Time Series: Convex Mixture Transition Distribution
Alex Tank, University of Washington; Ali Shojaie, University of Washington; Emily Fox, University of Washington
9:00 AM
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Does Hospice Reduce End-Of-Life Medical Costs? Evidence from a Bayesian Analysis
Fan Li, Duke University; Jerry Reiter, Department of Statistical Science, Duke University; David Klemish, Duke University; Don Taylor, Duke University
9:00 AM
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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
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Breaking the Myth of Breaking Randomization: a Causal Examination of Arm-Based Meta-Analysis
Russell Steele, McGill University; Mireille Schnitzer, Université de Montréal; Ian Shrier, Lady Davis Institute and McGill University
9:15 AM
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Covariate Adjustment Using Propensity Scores for Dependent Censoring Problems in the Accelerated Failure Time Model
Youngjoo Cho; Chen Hu, Johns Hopkins University; Debashis Ghosh, Colorado School of Public Health
9:20 AM
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Estimating Heterogeneous Causal Effects: a Bayesian Nonparametric Approach
Xinyi Xu, Ohio State University; Ling Wang, Ohio State University; Bo Lu, The Ohio State University; Steven MacEachern, The Ohio State University
9:25 AM
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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
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Sensitivity Analyzes for Causal Moderation Models for Zero-Inflated Data
Robert Gallop; Paul Crits-Christoph, University of Pennsylvania
9:35 AM
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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
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Causal Mediation Analysis for a Proportional Hazards Model with Interval-Censored Failure Time Data
Wei Wang, Division of Biostatistics, CDRH, FDA
10:55 AM
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Continuous Time Causal Mediation Analysis for Longitudinal Data
Jeffrey Albert, Case Western Reserve University
11:15 AM
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Bayesian Inference for Mediation Quantities with Factual and Intervened Posterior Predictive Distributions
Leah Comment, Harvard University School of Public Health; Linda Valeri, Harvard University; Brent Coull, Harvard T.H. Chan School of Public Health
11:35 AM
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