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Keyword Search Criteria: Causal inference returned 128 record(s)
Sunday, 07/29/2018
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Xinkun Nie, Stanford University; Stefan Wager, Stanford University


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

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

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


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


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


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

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
8:40 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

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
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

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
9:50 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
10:35 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

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 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
11:10 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

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
11:40 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

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

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


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 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

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

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
11:55 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

Wednesday, 08/01/2018
Propensity Score Methods for Merging Observational and Experimental Data Sets
Evan Taylor Ragosa Rosenman, Stanford University; Art Owen, Stanford University; Michael Baiocchi, Stanford University


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


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

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
9:45 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
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

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

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