Name: 2018 Joint Statistical Meetings
Start: 2018-07-28T07:00:00+00:00
End: 2018-08-02
Location: Vancouver Convention Centre

Keyword Search

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

Keyword Search Criteria: Causal returned 157 record(s)

Sunday, 07/29/2018

Nonparametric Causal Effects Based on Incremental Propensity Score Interventions
Edward Kennedy, Carnegie Mellon University; Matteo Bonvini, Carnegie Mellon University

Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Xinkun Nie, Stanford University; Stefan Wager, Stanford University

Nonparametric Measures of Local Causality and Tests of Local Non-Causality in Time Series
Felix Camirand Lemyre, School of mathematics and statistics, University of Melbourne; Taoufik Bouezmarni, Université de Sherbrooke; Jean-François Quessy, Université du Québec à Trois-Rivières

Matching Methods for Evaluating the Effect of a Time-Dependent Treatment on the Survival Function
Danting Zhu, University of Michigan; Douglas E. Schaubel, University of Michigan, Ann Arbor

A Bayesian Nonparametric Approach for Causal Inference with Semi-Competing Risks
Michael Daniels, University of Florida; Peter Müller, University of Texas Austin; Yanxun Xu, Johns Hopkins University; Daniel Scharfstein, Johns Hopkins University
2:05 PM

Big Data Detectives: Improving Human Health Through Informing Policy
Kristin Linn, University of Pennsylvania; Laura Hatfield, Harvard Medical School; Julian Wolfson, University of Minnesota; Sherri Rose, Harvard Medical School
2:05 PM

Regression-Adjusted Estimators in Randomized Experiments with a Diverging Number of Predictors
Lihua Lei, UC Berkeley; Peng Ding, UC Berkeley
2:20 PM

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

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

Spectral Causality in Multivariate Signals: Beyond Linearity
Hernando Ombao, King Abdullah University of Science and Technology; Abdulrahman Althobaiti, Rutgers University and King Abdullah University of Science and Technology
2:55 PM

Causal Inference for Outcomes Partially Identified by Longitudinal Laboratory Measures from EHRs
Jason Roy, University of Pennsylvania; Bret Zeldow, University of Pennslyvania
3:05 PM

Bayesian Longitudinal Causal Inference in the Analysis of the Public Health Impact of Air Pollution
Chanmin Kim, Boston University School of Public Health; Corwin Zigler, Harvard T.H. Chan School of Public Health; Jason Roy, University of Pennsylvania; Michael Daniels, University of Florida
3:25 PM

Matching Methods for Evaluating the Effect of a Time-Dependent Treatment on the Survival Function
Danting Zhu, University of Michigan; Douglas E. Schaubel, University of Michigan, Ann Arbor
3:45 PM

Causal Inference Applications in Google Search Ads
Jeffrey Moulton, Google; Valeria Espinosa, Google
4:25 PM

Hypothesis Tests of Mediation Under a Composite Null Hypothesis
Yen-Tsung Huang, Academia Sinica
4:30 PM

Causal Estimands and Confidence Intervals Associated with Wilcoxon-Mann-Whitney Tests in Randomized Experiments
Michael Fay, National Institute of Allergy and Infectious Diseases; Erin Gabriel, Karolinska Institute; Joanna H Shih, National Cancer Institute; Dean Follmann, NIAID; Erica H Brittain, National Institute of Allergy and Infectious Diseases
4:35 PM

Randomized Experiments on Amazon's Supply Chain
David Afshartous, Amazon; Luke Smith, Amazon
4:45 PM

Understanding Associations Among Multi-Omic Data via Integrative Modeling
Asuman Seda Turkmen, The Ohio State University; Hancong Tang, The Ohio State University; Shili Lin, The Ohio State University
4:55 PM

The Convex Mixture Transition Distribution: Granger Causality Networks for Categorical Time Series
Alex Tank; Emily Fox, University of Washington; Ali Shojaie, University of Washington
5:05 PM

Propensity Score Stratification: Are We Doing it Wrong?
Roland Matsouaka, Duke University School of Medicine
5:20 PM

Causal Organic Direct and Indirect Effects: Closer to Baron and Kenny
Judith Lok, Harvard T.H. Chan School of Public Health
5:20 PM

Monday, 07/30/2018

New Quasi-Experimental Devices for Observational Studies
Dylan Small, University of Pennsylvania

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

Embedding Observational Studies into Hypothetical Fractional-Factorial Experiments
Nicole Pashley, Harvard University; Marie-Abele Bind, Harvard University

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

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

Model Class Reliance: Variable Importance Measures for Any Machine Learning Model Class, from the
Aaron Fisher, Harvard University; Cynthia Rudin, Duke University; Francesca Dominici, Harvard T. H. Chan School of Public Health

Uncertainty in the Design Stage of Two-Stage Bayesian Propensity Score Analysis
Shirley Liao

Sufficient Cause Interaction for Ordinal and Categorical Outcomes
Jaffer Zaidi; Tyler VanderWeele, Harvard University

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

Intravenous Fluid Treatments for Ebola Patients: The Risk and the Reward
Derrick Yam, Brown University; Tao Liu, Brown University; Adam Levine, Brown University; Adam Aluisio, Brown University; Shiromi Peters, International Medical Corps; Suzanne Averill, International Medical Corps; Stephen Kennedy, Ministry of Health, Liberia; Fodey Sahr, Sierra Leone Ministry of Defence; Jillian Peters, Brown University; Daniel Cho, Brown University

Estimating Causal Effect by Difference in Difference via Random Forest
Tomoshige Nakamura, Graduate School of Science and Technology, Keio University; Mihoko Minami, Keio University

Optimal Matching Approaches in Health Policy Evaluations Under Rolling Enrollment
Jonathan Gellar, Mathematica Policy Research; Jiaqi Li, Mathematica Policy Research; Lauren Vollmer, Mathematica Policy Research

Building Representative Matched Samples in Large-Scale Observational Studies with Multivalued Treatments
Jose Zubizarreta, Harvard University
8:35 AM

Non-Parametric Bayesian Methods for Causal Inference with Multiple Treatments
Michael Lopez , Skidmore College ; Liangyuan Hu, Icahn School of Medicine at Mount Sinai; Chenyang Gu, Harvard Medical School
8:35 AM

A Decision Tool for Causal Inference and Observational Data Analysis Methods in Comparative Effectiveness Research (DECODE CER)
Douglas Landsittel, University of Pittsburgh; (Joyce) Chung-Chou H. Chang, University of Pittsburgh; Sally C. Morton, Virginia Tech
8:55 AM

Nonparametric Regression Models of Multilevel, Heterogeneous Treatment Effects: The National Study of Learning Mindsets
Carlos Carvalho, University of Texas; Jared S Murray, University of Texas at Austin; Paul Richard Hahn, Arizona State University ; David Yeager, The University of Texas at Austin; Elizabeth Tipton, Columbia University
9:00 AM

Optimal Tradeoffs Between Generalized Design Goals in Multivariate Matching
Samuel David Pimentel, University of California, Berkeley; Rachel R. Kelz, University of Pennsylvania
9:00 AM

Large Scale Application of Mendelian Randomization for Systematic Causal Inferences Using GWAS Summary Statistics for Drug Discovery and Development
Xing Chen, Pfizer Inc WRD
9:05 AM

Propensity Score Analysis for Subgroup Effects with Correlated Covariates
Shan-Yu Liu, UCSF; Bo Lu, The Ohio State University; Chunyan Liu, CCHMC; Edward Nehus, CCHMC; Maurizio Macaluso, CCHMC; Mi-Ok Kim, University of California San Francisco
9:05 AM

CERBOT, a Web-Based Support Tool for the Emulation of a Target Trial Using Observational Data
Yi Zhang, Medical Technology and Practice Patterns Institute; Mae Thamer, Medical Technology and Practice Patterns Institute; Miguel Hernan, Harvard School of Public Health
9:15 AM

Decision-Theoretic Aspects of Causal Inference Under Network Interference
Daniel L Sussman, Boston University
9:25 AM

Poly-Matching for Observational Studies: A Comparative Trauma Care Study
Bo Lu, The Ohio State University
9:25 AM

Improved Air Quality Saved Lives: a Mediation on Fine Particulate Matters
Geoffrey Peterson, U. S. Environmental Protection Agency
9:50 AM

Model Selection and Local Geometry
Robin Evans
10:35 AM

Multiply Robust Estimation of Causal Quantile Treatment Effects
Yuying Xie, University of Waterloo; Cecilia Cotton, University of Waterloo; Yeying Zhu, University of Waterloo
10:50 AM

Uncertainty in the Design Stage of Two-Stage Bayesian Propensity Score Analysis
Shirley Liao
10:50 AM

Sufficient Cause Interaction for Ordinal and Categorical Outcomes
Jaffer Zaidi; Tyler VanderWeele, Harvard University
10:50 AM

Covariate Selection for Generalizing Experimental Results
Erin Hartman, UCLA; Naoki Egami, Princeton University
10:55 AM

A Unified Approach to the Statistical Evaluation of Differential Vaccine Efficacy
Erin Gabriel, Karolinska Institute; Dean Follmann, NIAID
11:20 AM

Moral Hazard Effects of Bank Resolution Policies: Inferences from a Bayesian Nonparametric Study
Padma Sharma, UC Irvine
11:20 AM

Probabilities of Causation of Climate Changes
Alexis Hannart, Ouranos
11:25 AM

Using Electronic Health Records Data for Predictive and Causal Inference About the HIV Care Cascade
Joseph W Hogan, Brown University School of Public Health
11:35 AM

Embedding Observational Studies into Hypothetical Fractional-Factorial Experiments
Nicole Pashley, Harvard University; Marie-Abele Bind, Harvard University
11:35 AM

Generalized Causal Mediation and Path Analysis Using the R Gmediation Package
Jeffrey Albert, Case Western Reserve University
11:35 AM

Deep Feature Selection and Causal Inference for Alzheimer's Disease
Yuanyuan Liu, The University of Texas Health Science Center at Houston; Qiyang Ge, Fudan University; Nan Lin, The University of Texas Health Science Center at Houston; Wenjia Peng, Bengbu Medical College; Rong Jiao, The University of Texas Health Science Center at Houston; Xuesen Wu, Bengbu Medical College; Momiao Xiong, The University of Texas Health Science Center at Houston
11:50 AM

Estimating Causal Effect by Difference in Difference via Random Forest
Tomoshige Nakamura, Graduate School of Science and Technology, Keio University; Mihoko Minami, Keio University
12:05 PM

Improving Our Understanding of Dynamic Group-Based Interventions for Treating Depression and Substance Use Disorders
Susan M Paddock, RAND Corporation; Bing Han, RAND Corporation; Lane Burgette, RAND Corporation
2:05 PM

Studentized Sensitivity Analysis in Paired Observational Studies
Colin Fogarty, Massachusetts Institute of Technology
2:05 PM

A Classical Regression Framework for Mediation Analysis with Applications to Behavioral Science
Christina Saunders
2:05 PM

Functional Mediation Analysis of Functional Magnetic Resonance Imaging Experiments
Yi Zhao, Johns Hopkins Bloomberg School of Public Health; Xi Luo, Brown University; Martin A Lindquist, Johns Hopkins University; Brian Caffo, Johns Hopkins University
2:05 PM

Stochastic Interventions on Continuous Instruments:Estimating the Effects of Visitation on Recidivism
Jacqueline A Mauro, Carnegie Mellon University; Edward Kennedy, Carnegie Mellon University; Daniel Nagin, Carnegie Mellon University
2:25 PM

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

Constructing Independent Evidence from Regression and Instrumental Variables with an Application to the Effect of Violent Conflict on Altruism and Risk Preference
Bikram Karmakar, University of Pennsylvania; Dylan Small, University of Pennsylvania
3:05 PM

A Bayesian Nonparametric Method for Zero-Inflated Data with Applications to Medical Costs
Arman Oganisian, University of Pennsylvania; Nandita Mitra, University of Pennsylvania; Jason Roy, University of Pennsylvania
3:05 PM

Minimal Approximately Balancing Weights: Asymptotic Properties and Practical Considerations
Yixin Wang, Columbia University; Jose Zubizarreta, Harvard University
3:25 PM

Tuesday, 07/31/2018

The Role of Mobile Health in Precision Medicine
Susan Murphy, Harvard University

Causal Inference in the Era of Personalization: Handling Complexity with Simplicity
Kosuke Imai, Princeton University; Xiao-Li Meng, Harvard University; Booil Jo, Stanford University

Sparse Causal Dynamic Network Modeling of fMRI
Xuefei Cao, Brown University; Xi Luo, Brown University; Bjorn Sandstede, Brown University

Estimating Causal Effects with Propensity Score in Cluster Sample Surveys
Giovanni Nattino, Ohio State University; Bo Lu, The Ohio State University

Causal Inference with Complex Surveys: a Comparison of Propensity Score Based Methods
Daniele Bottigliengo, Università degli Studi di Padova; Ileana Baldi, Università degli Studi di Padova; Corrado Lanera, Università degli Studi di Padova; Dario Gregori, Università degli Studi di Padova; Paola Berchialla, Università degli Studi di Torino

Targeted Maximum Likelihood Estimation of Causal Effects Based on Observing a Single Time Series
Ivana Malenica; Mark van der Laan, UC Berkeley

A Framework for Multivariate Causal Mediation Analysis with Microbiome Data
Alexander V Alekseyenko, Medical University of South Carolina
8:35 AM

A Retrospective Control Study of the Millennium Villages Project
Shira Mitchell, Mathematica Policy Research; Andrew Gelman, Columbia University; Jeffrey Sachs, Columbia University; Avi Feller, UC Berkeley; Elizabeth A Stuart, Johns Hopkins Bloomberg School of Public Health; Alan Zaslavsky, Harvard University Medical School
10:35 AM

The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks
Arjun Sondhi, University of Washington; Ali Shojaie, University of Washington
10:35 AM

On the Relationship Between the Causal-Inference and Meta-Analytic Paradigms for the Evaluation of Surrogate Endpoints
Geert Molenberghs, Universiteit Hasselt & Katholieke Universiteit Leuven
10:35 AM

Estimating Causal Effects of Organ Transplantation Treatment Regimes
David Michael Vock, University of Minnesota; Jeffrey Boatman, Gustavus Adolphus College
10:35 AM

Targeted Maximum Likelihood Estimation of Causal Effects Based on Observing a Single Time Series
Ivana Malenica; Mark van der Laan, UC Berkeley
10:35 AM

Uncertainty in the Design Stage of Observational Studies
Matthew Cefalu, RAND Corporation; Corwin Zigler, Harvard T.H. Chan School of Public Health
10:55 AM

Propensity Score Methods for Studies with Hierarchical Data Structure and Continuous Treatments: Application to Childhood Obesity Interventions in Los Angeles County
Justin R Williams, UCLA; Catherine Crespi, University of California, Los Angeles; May Wang, University of California, Los Angeles
10:55 AM

Evaluating Power Plant Regulations with Methods for Causal Inference on Bipartite Networks with Interference
Fabrizia Mealli, University of Florence; Corwin Zigler, Harvard T.H. Chan School of Public Health; Laura Forastiere, University of Florence
11:15 AM

Robust Estimation of Propensity Score Weights via Subclassification
Linbo Wang; Xiao-Hua Zhou, Peking University; Thomas Richardson, University of Washington
11:15 AM

Estimating Causal Effects with Propensity Score in Cluster Sample Surveys
Giovanni Nattino, Ohio State University; Bo Lu, The Ohio State University
11:35 AM

Time-Varying Survivor Average Causal Effects with Semicompeting Risks
Leah Comment, Harvard T.H. Chan School of Public Health; Fabrizia Mealli, University of Florence; Corwin Zigler, Harvard T.H. Chan School of Public Health
11:35 AM

The Role of Body Mass Index at Diagnosis on Black-White Disparities in Colorectal Cancer Survival: a Density Regression Mediation Approach
Katrina Devick, Harvard TH Chan School of Public Health; Linda Valeri, McLean Hospital, Harvard Medical School; Jarvis Chen, Harvard TH Chan School of Public Health; Alejandro Jara, Pontificia Universidad Catolica de Chile; Marie-Abele Bind, Harvard University; Brent A. Coull, Harvard TH Chan School of Public Health
2:05 PM

Causal Inference Using EMRs with Missing Data: a Machine Learning Approach with an Application on the Evaluation of Implantable Cardioverter Defibrillators
Changyu Shen, Beth Israel Deaconess Medical Center, Harvard Medical School; Xiaochun Li, Indiana University; Zuoyi Zhang, Regenstrief Institute; Alfred E Buxton, Beth Israel Deaconess Medical Center
2:25 PM

The Causal Effect of a Catch and Shoot in the NBA
Katherine Louise Evans, Verily Life Sciences
2:35 PM

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

Assessing Individual and Disseminated Causal Package Effects in Network HIV Treatment and Prevention Trials
Ashley Buchanan, University of Rhode Island; Donna Spiegelman, Harvard T.H. Chan School of Public Health; Sten Vermund, Yale University; Samuel Friedman, National Development and Research Institutes, Inc.; Judith Lok, Harvard T.H. Chan School of Public Health
2:45 PM

A G-Formula Estimator for Performing Causal Mediation Analysis with Survival Outcomes: Investigating the Relationship Between Statins, Cholesterol and Cardiovascular Diseases
Denis Talbot, Universite Laval; Joseph A Delaney, University of Washington School of Public Health; Veit Sandfort, National Institutes of Health; David M Herrington, Heart and Vascular Center of Excellence; Robyn L McClelland, University of Washington School of Public Health
2:50 PM

Causal Inference for the Risk of Cellphone Use While Driving
Danni Lu, Virginia Tech; Feng Guo, Virginia Tech; Fan Li, Duke University
2:50 PM

Undiluting the Treatment Effect
Thomas Permutt, Food and Drug Administration
2:55 PM

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

Doubly Robust Estimation and Causal Inference for Recurrent Event Data
Chien-Lin Mark Su, McGill University; Russell Steele, McGill University; Ian Shrier, McGill University
3:05 PM

Causal Inference Using a Bayesian Nonparametric Model with Informative Priors on Sensitivity Parameters
Jason Roy, University of Pennsylvania
3:20 PM

A Bayesian Hierarchical Model Estimating CACE in Meta-Analysis of Randomized Clinical Trials with Noncompliance
Jincheng Zhou, University of Minnesota; Haitao Chu, University of Minnesota Twin Cities; James S. Hodges, University of Minnesota; M. Fareed Khan Suri, University of Minnesota
3:25 PM

Wednesday, 08/01/2018

Exploring Treatment Heterogeneity Using Propensity Scores
Maozhu Dai, University of California, Irvine; Hal Stern, University of California, Irvine

Propensity Score Methods for Merging Observational and Experimental Data Sets
Evan Taylor Ragosa Rosenman, Stanford University; Art Owen, Stanford University; Michael Baiocchi, Stanford University

Allele Specific Information in Mendelian Randomization
Xuran Wang, University of Pennsylvania; Nancy Zhang, University of Pennsylvania; Dylan Small, University of Pennsylvania; Mingyao Li, University of Pennsylvania

Estimating the Causal Effect of Antidepressant Use on Time-To-Dementia for Incident MCI Patients Using Marginal Structural Fine-Gray Model
Ran Duan, University of Kentucky ; Erin L Abner, University of Kentucky; Daniela Moga, University of Kentucky

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

On Causal Inference in the Presence of Limited Overlap
Tingting Zhou, University of Michigan; Michael Elliott, University of Michigan; Roderick J Little, University of Michigan

Ggdag and Confoundr: R Packages for Causal Inference with DAGs and Data
Malcolm Barrett

Causal Inference for Infectious Disease Interventions in Networks
Xiaoxuan Cai, Yale University; Forrest W Crawford, Yale School of Public Health

Model-Based Socio-Economic Health Measures Using Causal Modeling
F. Swen Kuh, Australian National University; Anton H. Westveld, Australian National University; Grace S Chiu, Australian National University

Estimation of Outcome Trajectory Using Inverse Probability of Censoring Weighting When Data Are Missing Not at Random
Dustin Rabideau, Harvard T.H. Chan School of Public Health; Constantin T. Yiannoutsos, Indiana University Fairbanks School of Public Health; Ronald J. Bosch, Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health; Judith Lok, Harvard T.H. Chan School of Public Health

A Nonparametric Estimator for the Probability of Causation
Maria Cuellar, Carnegie Mellon University; Edward Kennedy, Carnegie Mellon University
8:35 AM

A Powerful Approach to the Study of Moderate Effect Modification in Observational Studies
Kwonsang Lee, Harvard University; Dylan Small, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania
8:50 AM

Difference-In-Differences Versus Empirical Bayes for Causal Inference in Traffic Safety Research
Fan Li, Duke University
8:55 AM

Can We Train Machine Learning Methods to Outperform the High-Dimensional Propensity Score Algorithm?
Mohammad Ehsanul Karim, University of British Columbia; Robert W Platt, McGill University
9:20 AM

Quantile Regression for AB Testing
Luke Smith, Amazon
9:20 AM

Causal Inference for Infectious Disease Interventions in Networks
Xiaoxuan Cai, Yale University; Forrest W Crawford, Yale School of Public Health
9:30 AM

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

Heterogeneous Treatment Effect Estimation through Deep Learning
Ran Chen, Wharton; Hanzhong Liu, Center for Statistical Science, Tsinghua University
9:35 AM

When Confounders Are Confounded: Naive Benchmarking in Sensitivity Analysis
Carlos Leonardo Kulnig Cinelli, UCLA; Judea Pearl, UCLA; Bryant Chen, IBM
9:50 AM

Principal Stratification for Longitudinal Data in Environmental Trials
Joshua Keller, Johns Hopkins Bloomberg School of Public Health; Roger D Peng, Johns Hopkins University
10:05 AM

Matching Methods for Causal Inference with Time-Series Cross-Section Data
Kosuke Imai, Princeton University; Erik Wang, Princeton University; In Song Kim, MIT
10:35 AM

Sharp Instruments for Classifying Compliers and Generalizing Causal Effects
Edward Kennedy, Carnegie Mellon University
10:35 AM

Direction Dependence Modeling: a Diagnostic Framework to Test the Causal Direction of Effects in Linear Models
Wolfgang Wiedermann, University of Missouri; Xintong Li, University of Missouri
10:35 AM

Weighting-Based Sensitivity Analysis in Causal Mediation Studies: Interactive Tools for Analysts
Guanglei Hong, University of Chicago; Xu Qin, University of Chicago; Fan Yang, University of Colorado Denver
10:55 AM

Matching Using Sufficient Dimension Reduction for Causal Inference
Yeying Zhu, University of Waterloo; Wei Luo, Baruch College
10:55 AM

Model Assessment in Causal Inference Using Explicit Validators
Booil Jo, Stanford University
11:15 AM

A Robust and Efficient Approach to Causal Inference Based on Sparse Sufficient Dimension Reduction
Shujie Ma, UC Riverside-Dept of Statistics
11:15 AM

Locally Linear Forests: Leveraging Smoothness with Random Forests
Rina Friedberg, Stanford University; Julie Tibshirani, Palantir Technologies; Susan Athey, Stanford University; Stefan Wager, Stanford University
11:20 AM

Generalizability of Causal Inference in Observational Studies Under Retrospective Convenience Sampling
Zonghui Hu, National Institute of Health; Jing Qin, National Institute of Allergy and Infectious Diseases, NIH
11:35 AM

Causal Inference Under Unmodeled and All-Encompassing Interference
Fredrik Sävje, Yale University
2:25 PM

Exact Conditional Randomization Tests for Causal Effects Under Interference
Panagiotis Toulis, University of Chicago; Avi Feller, UC Berkeley; Guillaume Basse, Harvard University
2:45 PM

Estimation of Contagion Effects in Households and Other Networks
Forrest W Crawford, Yale School of Public Health; Wen Wei Loh, Ghent University
3:05 PM

Thursday, 08/02/2018

Predictive Distribution of Anticipative Alpha-Stable Markov Processes
Sebastian Fries, Paris-Saclay University, Faculty of Mathematics & CREST
8:35 AM

Fair Inference Through Semiparametric-Efficient Estimation Over Constraint-Specific Paths
Nima Hejazi, Group in Biostatistics, UC Berkeley
8:35 AM

A New Direction for Health Policy Decisions Based on Subgroup Discovery: The Cost-Effectiveness Determination Curve
Andrew Justin Spieker, University of Pennsylvania; Jason Roy, University of Pennsylvania; Nandita Mitra, University of Pennsylvania
8:50 AM

Wind as an Instrumental Variable in Air Pollution Epidemiology
Keith Zirkle, Virginia Commonwealth University; David C. Wheeler, Virginia Commonwealth University; Marie-Abele Bind, Harvard University
9:05 AM

The Use of Machine Learning and Statistics in the Technology Sector
Joseph Kelly, Google
9:15 AM

Finding and Combining Multiple Designed Data Sets for Estimating Causal Effects in Observational Studies
Zach Branson, Harvard University; Marie-Abele Bind, Harvard University
9:20 AM

Treatment Heterogeneity and Treatment Eligibility Estimations Using Random Forest Methods
Min Lu, University of Miami; Eugene H. Blackstone, Cleveland Clinic; Hemant Ishwaran, University of Miami
9:35 AM

Causal Inference with Interference and Noncompliance in the Two-Stage Randomized Experiments
Zhichao Jiang, Princeton University; Kosuke Imai, Princeton University; Anup Malani, University of Chicago
10:35 AM

Three Little Models and the Big Bad Data: a Three-Model Approach to Causal Analysis with Observational Clinical Data
Kayla Nowak, RTI International; Tracy Nolen, RTI International
10:50 AM

Targeted Learning for Causal Inference
Mark van der Laan, UC Berkeley
11:00 AM

IMP: Interference Manipulating Permutations
Michael Baiocchi, Stanford University; Eric Jay Daza, Stanford University
11:00 AM

The Impact of PEPFAR PMTCT Funding on Reduced Infant Mortality and Improved ANC Care in Kenya: a Quasi-Experimental Evaluation
Donna Spiegelman, Harvard T.H. Chan School of Public Health; Dale Barnhart, Harvard T.H Chan School of Public Health; Isaac Tsikhutsu , Walter Reed Program-Kericho, Kenya; U.S. Military HIV Research Program, Silver Spring, MD; Fredrick Sawe , Walter Reed Program-Kericho, Kenya; U.S. Military HIV Research Program, Silver Spring, MD ; Jane Muli, Walter Reed Program-Kericho, Kenya; U.S. Military HIV Research Program, Silver Spring, MD; Duncan Kirui, Walter Reed Program-Kericho, Kenya; U.S. Military HIV Research Program, Silver Spring, MD; William Sugut, Walter Reed Program-Kericho, Kenya; U.S. Military HIV Research Program, Silver Spring, MD; Nareen Abboud, Office of the U.S. Global AIDs Coordinator and Health Diplomacy; Tiffany Hamm, U.S. Military HIV Research Program, Walter Reed Army Institute of Research; Peter Coakley, U.S. Military HIV Research Program, Walter Reed Army Institute of Research; Patrick W. Hickey, U.S. Military HIV Research Program, Walter Reed Army Institute of Research; Vanessa Wolfman, U.S. Military HIV Research Program, Walter Reed Army Institute of Research; Elizabeth Lee, U.S. Military HIV Research Program, Walter Reed Army Institute of Research
11:15 AM

Regularized Calibrated Estimation of Propensity Scores with Model Misspecification and High-Dimensional Data
Zhiqiang Tan, Rutgers University
11:25 AM

Causal Effects in Partially and Non-Randomized Two-Stage Designs with Interference
Avi Feller, UC Berkeley; Samuel David Pimentel, University of California, Berkeley; Panos Toulis, University of Chicago; Guillaume Basse, Harvard University; Luke J. Keele, University of Pennsylvania
11:25 AM

Methodological Considerations for the Analysis of Relative Treatment Effects in Multi-Drug-Resistant Tuberculosis from Fused Observational Studies
Mireille Schnitzer, University of Montreal; Andrea Benedetti, Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre; Guanbo Wang, McGill University; Arman Alam Siddique, McMaster University; Asma Bahamyirou, Université de Montréal
11:35 AM

Discovering Effect Modification in Observational Studies
Dylan Small, University of Pennsylvania; Jesse Yenchih Hsu, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania; Kwonsang Lee, Harvard University; Jose Zubizarreta, Harvard University; Jeffrey Silber, University of Pennsylvania
11:50 AM

Interference and Noncompliance in Clustered Randomized Trials for Program Evaluation
Hyunseung Kang, University of Wisconsin - Madison; Luke Keele, Georgetown University
11:50 AM

Targeted Learning for Variable Importance in Precision Medicine
Yue You, Division of Biostatistics, University of California, Berkeley; Alan Hubbard, Division of Biostatistics, University of California, Berkeley; Rachael Callcut, Zuckerberg San Francisco General Hospital, University of California; Lucy Kornblith, Zuckerberg San Francisco General Hospital, UCSF; Sabrinah Christie, Zuckerberg San Francisco General Hospital, UCSF
11:50 AM

Mitigating Test-Control Interference in Marketplace Experimentation
Duncan Gilchrist, Uber Technologies
11:55 AM

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