Name: 2019 Joint Statistical Meetings
Start: 2019-07-27T07:00:00+00:00
End: 2019-08-01
Location: Colorado Convention Center

Keyword Search

Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme

Keyword Search Criteria: Inference returned 365 record(s)

Sunday, 07/28/2019

Does Simulation-Based Inference Improve Student Understanding/Retention/Attitudes?
Beth Chance, Cal Poly - San Luis Obispo; Nathan Tintle, Dordt College

Black-Box Inference: Efficient, Scalable, Model-Free Tests for Variable Importance
Timothy Coleman, University of Pittsburgh; Lucas Mentch, University of Pittsburgh

Distributed Bayesian Inference for Massive Scale Spatial/Spatio-Temporal Data
Rajarshi Guhaniyogi, University of California, SC

Object Oriented Data Analysis
Steve Marron , University of North Carolina at Chapel Hill

Inference in the Fréchet Regression Model for Random Objects
Alexander Petersen, University of California, Santa Barbara

Statistical Inference for L-Moments of Specific, Common Distributions
Timothy Shawn Anderson, Air Force Institute of Technology; Christine Schubert Kabban, Air Force Institute of Technology; Fairul Mohd-Zaid, Air Force Research Labs

Two-Stage Residual Inclusion Under the Additive Hazards Model - an Instrumental Variable Approach with Application to SEER-Medicare Linked Data
Andrew Ying, University of California, San Diego; Ronghui Xu, University of California, San Diego; James Murphy, University of California, San Diego

On the Identification of Individual Principal Stratum Direct, Natural Direct and Pleiotropic Effects Without Cross-World Independence Assumptions
Jaffer Zaidi; Tyler VanderWeele, Harvard University

Permutation Weighting
Drew Dimmery, Facebook; David Arbour, Adobe Research

Causal Mediation Analysis Using Gradient Boosting Machines: Developing Methods and Software
Brian G. Vegetabile, RAND Corporation; Donna L. Coffman, Temple University; Daniel F. McCaffrey, Educational Testing Service

Identify Consensus Among Match Makers: a Clustering Aggregation Perspective
Yumin Zhang, Purdue University; Arman Sabbaghi, Purdue University

Person as Population: a Longitudinal View of Single-Subject Causal Inference for Analyzing Self-Tracked Health Data
Eric J. Daza, Stanford Prevention Research Center, Stanford University School of Medicine

Cluster-Stratified Outcome-Dependent Sampling in Resource-Limited Settings: Inference and Small-Sample Considerations
Sara Sauer, Harvard School of Public Health; Bethany Hedt-Gauthier, Harvard Medical School; Claudia Rivera-Rodriguez, University of Auckland; Sebastien Haneuse, Harvard T.H. Chan School of Public Health

Statistical Data Integration and Inference via Multilevel Regression and Poststratification
Yajuan Si, University of Michigan

Inference from Multivariate Respondent-Driven Sampling Data
Krista Gile, University of Massachusetts; Isabelle Beaudry, Pontificia Universidad Católica de Chile; Dongah Kim, University of Massachusetts; Shuaimin Kang, University of Massachusetts
2:05 PM

Hierarchical Scale Mixtures for Flexible Spatial Modeling
Likun Zhang, Penn State University; Benjamin Shaby, Pennsylvania State University
2:05 PM

Bayesian Doubly Robust Adjustment for Finite Population Inference Using Big Data: Application to Naturalistic Driving Studies
Ali Rafei, Institute for Social Research, University of Michigan; Michael Elliott, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute
2:20 PM

Statistical Data Integration and Inference via Multilevel Regression and Poststratification
Yajuan Si, University of Michigan
2:20 PM

Bayesian Tree Models for Continuous Treatment Effects
Jared S Murray, University of Texas at Austin
2:25 PM

The Choice to Define Competing Risk Events as Censoring Events and Implications for Causal Inference
Jessica Gerald Young, Harvard Medical School; Mats Julius Stensrud, Harvard School of Public Health; Eric Tchetgen Tchetgen, University of Pennsylvania; Miguel Hernan, Harvard University
2:30 PM

On Performing Generalized Inferences for the Burr XII Reliability Function Based on Progressively Censored Data
Danush Wijekularathna, Troy University; Sumith Gunasekera, The University of Tennessee - Chattanooga
2:35 PM

An Information-Theoretic Approach for the Evaluation of Surrogate Endpoints Based on Causal Inference
Ariel Alonso Abad, KUleuven
2:45 PM

Toward Evaluation of Dissemination of HIV Prevention Interventions Among Networks of People Who Inject Drugs
Ashley Buchanan, University of Rhode Island; Natallia Katenka, University of Rhode Island; Ayako Shimada, University of Rhode Island ; M Elizabeth Halloran, University of Washington and Fred Hutchinson Cancer Research Center; Samuel Friedman, National Development and Research Institutes, Inc.
2:45 PM

Permutation Weighting
Drew Dimmery, Facebook; David Arbour, Adobe Research
2:50 PM

Marginal Structural Models for a Continuous Outcome When the Risk of Death Depends on Treatment
Judith Lok, Boston University, Dept of Mathematics and Statistics
2:55 PM

Empirical Optimal Transport: Inference, Algorithms, Applications
Axel Munk, Inst. for Mathematical Stochastics, Göttingen University
3:05 PM

Bayesian Auto-G-Computation of Network Causal Effects: Incarceration and Infection in a High Risk Network
Isabel Fulcher, Harvard University; Eric Tchetgen Tchetgen, University of Pennsylvania; Ilya Shpitser, Johns Hopkins University; Caleb Lareau, Harvard Medical School
3:05 PM

Quantification of Borrowing of Strength in Hierarchical Bayes Models
Prasenjit Ghosh, Texas A & M University; Anirban Bhattacharya, TAMU; Debdeep Pati, Texas A&M University
3:05 PM

A Fully Robust Procedure for Subgroup Inference
Ao Yuan; Anqi Yin, Georgetown University; Ming T Tan, Georgetown University
3:05 PM

Causal Methods to Adjust for Confounding When Air Pollution Exposure Is Measured with Error
Danielle Braun, Harvard University; Xiao Wu, Harvard University; Marianthi-Anna Kioumourtzoglou, Mailman School of Public Health, Columbia University; Francesca Dominici, Harvard T.H. Chan School of Public Health
3:05 PM

Measuring Causal Impacts on Multifaceted Outcomes with Missingness, with an Application to Welfare Impacts of Mobile Credit
Jacqueline Mauro; Joshua Blumenstock, University of California Berkeley; Katherine Yen, UC Berkeley; Andrew Linxie, UC Berkeley
3:20 PM

Inference on the Best Selected Subgroup
Xinzhou Guo, University of Michigan; Xuming He, University of Michigan
3:20 PM

Likelihood-Based Analysis of the Statistical Effects of a Treatment on an Outcome
Kai Wang, University of Iowa
3:20 PM

Bayesian Inference of Non-Probability Samples
ZHIQING XU, Worcester Polytechnic Institute; Balgobin Nandram, Worcester Polytechnic Institute
3:35 PM

Identify Consensus Among Match Makers: a Clustering Aggregation Perspective
Yumin Zhang, Purdue University; Arman Sabbaghi, Purdue University
3:40 PM

Bayesian Method for Causal Inference in Spatially Correlated Multivariate Time Series
Bo Ning, Yale University
4:05 PM

Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation
Runze Li, Penn State University
4:05 PM

Principal Component Causal Estimands for Equivalence Trials in the Presence of Intercurrent Events
Wanjie Sun, FDA
4:05 PM

Inference for the Smoothed Proportion Whose Average Treatment Effect Exceeds a Threshold
Jonathan Levy
4:05 PM

Impacting Policy by Estimating Causal Links
Hrishikesh Vinod, Fordham University, NY
4:05 PM

Doubly Distributed and Integrated Inference for Correlated Data with Heterogeneous Parameters
Emily Charlotte Hector, University of Michigan; Peter X.K. Song , School of Public Health, University of Michigan
4:05 PM

Variational Inference You Can Trust: a New Approach to Boosting
Trevor Campbell, University of British Columbia
4:05 PM

Asymptotically Unbiased Inference for a Panel VAR Model with P Lags
Luis Melo, Banco De La Republica; Juan Sebastian Cubillos, Banco de la Republica
4:20 PM

Causal Inference Under Network Interference with Noise
Wenrui Li, Boston University; Eric Kolaczyk, Boston University; Daniel L Sussman, Boston University
4:20 PM

Proposing and Testing Sub-Groups with Heterogeneous Treatment Effects: a Sequence of Two Studies
Rahul Ladhania, Carnegie Mellon University; Amelia M Haviland, Carnegie Mellon University - Heinz College; Neeraj Sood, University of Southern California; Ateev Mehrotra, Harvard Medical School
4:25 PM

A Scalable, Robust Bayesian Approach to Finding Mutational Signatures in Human Cancer
Jonathan Huggins, Harvard School of Public Health
4:25 PM

Adaptive Contrast Weighted Learning and Tree-Based Reinforcement Learning for Multi-Stage Multi-Treatment Decision-Making
Lu Wang, University of Michigan; Yebin Tao, Google; Daniel Almirall, University of Michigan
4:30 PM

Frequentist Inference Without Repeated Sampling
Paul Vos, East Carolina University
4:35 PM

Discovering Heterogeneous Exposure Effects in Air Pollution Studies
Kwonsang Lee, Harvard University; Dylan Small, University of Pennsylvania; Francesca Dominici, Harvard T.H. Chan School of Public Health
4:45 PM

Statistical Inference for Crossover Design with Functional Responses
Salil Koner, North Carolina State University; Arnab Maity, North Carolina State University; Ana-Maria Staicu, North Carolina State University
4:50 PM

Mediation Analysis via Copula Structural Equation Models for Variables of Mixed Types
Peter X.K. Song , School of Public Health, University of Michigan ; Wei Hao, University of Michigan
5:05 PM

Using Cyclic Structure to Improve Inference on Networks
Behnaz Moradijamei, Kansas State University; Michael Higgins, Kansas State University
5:05 PM

Causal Inference for Policy Analysis: When Programs for Some Affect Outcomes for Others
Daniel Wilmoth, U.S. Small Business Administration
5:05 PM

Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting
Haoyu Chen, North Carolina State University; Wenbin Lu, North Carolina State University; Rui Song, North Carolina State University
5:20 PM

Estimation in Additive Exposure Models
Kelly Kung, Boston University; Daniel L Sussman, Boston University
5:20 PM

Generalized Bilinear Models for Bias Correction in Large-Scale Genomics Data
Jeffrey Miller, Harvard TH Chan School of Public Health
5:25 PM

Bayesian Framework for Predictive and Causal Modeling Using BART
Yizhen Xu, Brown University; Tao Liu, Brown University; Rami Kantor, Brown University; Ann Mwangi, Moi University; Michael Daniels, University of Florida; Joseph Hogan, Brown University
5:35 PM

Monday, 07/29/2019

Flexible Bayesian Inference for Over-Dispersed or Under-Dispersed Spatial Count Data
Hou-Cheng Yang

Stochastic Gradient MCMC for State Space Models
Christopher Aicher, University of Washington

A Data-Adaptive Targeted Learning Approach of Evaluating Viscoelastic Assay Driven Trauma Treatment Protocols
Linqing Wei, Univ of California - Berkeley, Biostatistics Department; Alan Hubbard, University of California, Berkeley; Lucy Zumwinkle Kornblith, University of California,San Francisco; Mitchell Jay Cohen, University of Colorado School of Medicine

Computational and Theoretical Analysis of Novel Dimensionality Reduction Algorithms in Data Mining Brandon Guo
Brandon Guo

Models and Inference for Spatial Extremes Based on Tree-Based Multivariate Pareto Distributions
Daniela Cisneros; Raphaël Huser, King Abdullah University of Science and Technology

Generalised Boosted Forests; Variance Estimation and Inference
Indrayudh Ghosal, Cornell University

Stein Neural Sampler
Tianyang Hu, Purdue Statistics; Zixiang Chen, Tsinghua Statistics; Hanxi Sun, Purdue Statistics; Jincheng Bai, Purdue Statistics; Mao Ye, Purdue Statistics; Guang Cheng, Purdue Statistics

Statistical Inference in a High-Dimensional Binary Regression Problem with Noisy Responses
Hyebin Song

Big Data Poses Bigger Questions in Mental Health Research
Samprit Banerjee, Weill Medical College, Cornell University

Inference for Measurement Error Model Under High-Dimensional Settings
Mengyan Li, Penn State University; Yanyuan Ma, The Pennsylvania State University

Quantile Regression Under Memory Constraint
Yichen Zhang, New York University; Xi Chen, New York University; Weidong Liu, Shanghai Jiaotong University

Bayesian Inference for Reconstructing Intra-Tumor Phylogeny
Tingting of Zhai, University of Kentucky; Jinpeng of Liu, University of Kentucky; Chi of Wang, University of Kentucky

Comparing Methods for Familial Relationship Inference in Populations with Complex Demographic History
Daniel Yorgov, Purdue University Fort Wayne

Paradox Problems as a Tool for Understanding Statistical Reasoning
Andrew Neath, SIU Edwardsville

Causal Inference in Introductory Statistics Courses
Kevin Cummiskey, West Point; Bryan Adams, West Point; James Pleuss, West Point; Dusty Turner, West Point; Nicholas Clark, West Point; Krista Watts, West Point

Students’ Understanding of Definitional and Relational Characteristics of Confidence Intervals: Initial Results
Kristen E. Roland, University of Georgia; Jennifer J. Kaplan, University of Georgia

Active-Learning for Bayesian Inference: An Introductory Exercise Using MandM's Candy
Gwendolyn Marie Eadie, University of Washington; Daniela Huppenkothen, University of Washington; Aaron Springford, Weyerhaeuser; Tyler McCormick, University of Washington

Oversampling and Replacement Strategies in Propensity Score Matching: a Critical Review Focused on Small Samples
Daniele Bottigliengo, University of Padova; Ileana Baldi, University of Padova; Corrado Lanera, University of Padova; Jonida Bejko, University of Brescia; Tomaso Bottio, University of Padova; Vincenzo Tarzia, University of Padova; Massimiliano Carrozzini, University of Padova; Gino Gerosa, University of Padova; Paola Berchialla, University of Torino; Dario Gregori, University of Padova

Simple Adjustment for Bias Due to Unobserved Confounding
Yiran (Bonnie) Hu, AbbVie; Hui Xie, University of Illinois at Chicago

Using a Combination of Nearest Matching and Synthetic Control Methods in Causal Inference Study
Zhiyiuan Dong

Heterogeneous Treatment Effects with Subgroups via the Overlap Weights
Elizabeth Lorenzi

Generalizing Health Insurance Plan Effects on Medicaid Spending with Randomized and Observational Data
Irina Degtiar, Harvard T.H. Chan School of Public Health; Francesca Dominici, Harvard T.H. Chan School of Public Health; Sherri Rose, Harvard Medical School

The Impact of Covariance Priors on Arm-Based Bayesian Network Meta-Analyzes with Binary Outcomes
Zhenxun Wang, University of Minnesota,; Lifeng Lin, Florida State University; JIM HODGES, UNIVERSITY OF MINNESOTA; Haitao Chu, University of Minnesota

A Tutorial on Applying Propensity Score Methods for Characterization of Treatment Effects on Patient Outcomes Using a Medical Claims Database
Ryan Ross, University of Michigan; Megan Caram, Institute for Health Policy and Innovation, University of Michigan Medical School; Paul Lin, Institute for Health Policy and Innovation, University of Michigan Medical School; Min Zhang, University of Michigan; Bhramar Mukherjee, University of Michigan

Variable Selection in Causal Inference
Tingting Zhou, University of Michigan School of Public Health; Michael Elliott, University of Michigan; Roderick J Little, University of Michigan School of Public Health

True Trend or Just Pretend? Alternative Loss Functions to Reduce Overfitting in Synthetic Controls
Alyssa Bilinski; Laura A Hatfield, Harvard Medical School

Bayesian Inference of Separable Covariance Models for Health Care Quality Measures
Judith Law, Harvard Medical School; Laura A Hatfield, Harvard Medical School; Alan M. Zaslavsky, Harvard Medical School

Propensity Score Methods for Merging Observational and Experimental Data Sets
Evan Rosenman, Stanford University; Art Owen, Stanford University; Michael Baiocchi, Stanford University; Hailey Banack, University at Buffalo
8:35 AM

Estimation and Inference for Functional Linear Regression Models with Varying Regression Coefficients
Guanqun Cao, Auburn University; Li Wang, Iowa State University; Shuoyang Wang, Auburn University
8:35 AM

Descending from the Theoretical to the Practical: Our Journey from Clear Definition to Messy Inference and Back
Michael O'Kelly, IQVIA
8:35 AM

Robust M-Estimation for Partially Observed Functional Data
Yeonjoo Park, University of Texas at San Antonio; Xiaohui Chen, University of Illinois at Urbana-Champaign; Douglas Simpson, University of Illinois at Urbana-Champaign
8:50 AM

Optimal Experimental Design for High-Dimensional Asymptotically Optimal Confidence Regions
Binjie Luo, University of Nebraska-Lincoln; Kent Eskridge, University of Nebraska-Lincoln
8:50 AM

Variable Selection and Estimation in Causal Inference Using Bayesian Spike and Slab Priors
David Michael Vock, University of Minnesota; Brandon Koch, University of Nevada Reno; Julian Wolfson, University of Minnesota
8:55 AM

Estimating the Per-Protocol Effect in Pragmatic Trials
Miguel Hernan, Harvard University
9:00 AM

The Trend-In-Trend Research Design for Causal Inference
Ashkan Ertefaie, University of Rochester; Dylan Small, University of Pennsylvania; Sean Hennessy, University of Pennsylvania; Xinyao Ji, University of Pennsylvania; Charles Leonard, University of Pennsylvania
9:00 AM

Multiple Imputation Procedure for Record Linkage and Causal Inference to Estimate the Effects of Home-Delivered Meals
Mingyang Shan, Brown University; Kali Thomas, Brown University; Roee Gutman, Brown University
9:00 AM

A Unified Framework for Time-To-Toxicity Dose-Finding Designs in Immune and Non-Immune Clinical Trials
Yuan Ji, The University of Chicago; Tianjian Zhou, The University of Chicago
9:15 AM

Projection Inference Using Penalized Regression Estimators
Biyue Dai, University of Iowa; Patrick Breheny, University of Iowa
9:20 AM

Group Non-Gaussian Component Analysis for Neuroimaging
Yuxuan Zhao, Cornell University; David Matteson, Cornell University; Mary Beth Nebel, Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute; Benjamin Risk, Emory University
9:20 AM

Two-Sample Mean Tests for High-Dimensional Time Series Data
Shuyi Zhang, Peking University; Yumou Qiu, Iowa State University; Song Xi Chen, Peking University
9:20 AM

Bayesian Inference for Reconstructing Intra-Tumor Phylogeny
Tingting of Zhai, University of Kentucky; Jinpeng of Liu, University of Kentucky; Chi of Wang, University of Kentucky
9:20 AM

Design and Analysis of Two-Stage Randomized Experiments
Kosuke Imai, Harvard University; Zhichao Jiang, Harvard University
9:25 AM

Inference for Measurement Error Model Under High-Dimensional Settings
Mengyan Li, Penn State University; Yanyuan Ma, The Pennsylvania State University
9:30 AM

Quantile Regression Under Memory Constraint
Yichen Zhang, New York University; Xi Chen, New York University; Weidong Liu, Shanghai Jiaotong University
9:45 AM

A Generalized Framework for High-Dimensional Inference Using Leave-One-Covariate-Out LASSO Path
Xiangyang Cao, University of South Carolina; Karl Gregory, University of South Carolina; Dewei Wang, University of South Carolina
9:50 AM

Statistical Inference for Gene-Level Analysis Based on Functional Linear Models
Olga Vsevolozhskaya, University of Kentucky; Adam Dugan, University of Kentucky; David Fardo, University of Kentucky; Dmitri Zaykin, National Institute of Environmental Health Sciences
9:50 AM

Temporal Exponential-Family Random Graph Models with Time-Evolving Latent Block Structure for Dynamic Networks
Kevin Lee, Western Michigan University; Amal Agarwal, The Pennsylvania State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
9:55 AM

Paradox Problems as a Tool for Understanding Statistical Reasoning
Andrew Neath, SIU Edwardsville
10:00 AM

Pathway Association Analysis Under High Dimensions
Yang Liu, Wright State University; Qianchuan He, Fred Hutchinson Cancer Research Center
10:05 AM

Comparing Methods for Familial Relationship Inference in Populations with Complex Demographic History
Daniel Yorgov, Purdue University Fort Wayne
10:05 AM

Continuous-Time Monte Carlo and Scalable Bayesian Inference
Paul Fearnhead, Lancaster University
10:35 AM

Bracketing in the Comparative Interrupted Time-Series Design to Address Concerns About History Interacting with Group: Evaluating Missouri’s Handgun Purchaser Law
Raiden Hasegawa, University of Pennsylvania; Daniel Webster, Johns Hopkins University; Dylan Small, University of Pennsylvania
10:35 AM

A Bayesian Semiparametric Approach to Wild-Type Distribution Estimation: Accounting for Contamination and Measurement Error (BayesACME)
Will A. Eagan, Purdue University; Bruce A. Craig, Purdue University
10:50 AM

Scalable Gaussian Process Inference with Finite-Data Mean and Variance Guarantees
Tamara Broderick, Massachusetts Institute of Technology
11:00 AM

Minimax Optimal Causal Inference in a High-Dimensional Discrete Model
Edward Kennedy, Carnegie Mellon University
11:00 AM

Simple Adjustment for Bias Due to Unobserved Confounding
Yiran (Bonnie) Hu, AbbVie; Hui Xie, University of Illinois at Chicago
11:10 AM

A New Class of Unimodal, Asymmetric, Heavy-Tailed Densities with Applications to Regression and Time-Series Models
Li Kang, University of Texas At Austin
11:15 AM

Teaching with Simulation-Based Inference Methods in 2020 and Beyond
Nathan Tintle, Dordt College
11:20 AM

Using a Combination of Nearest Matching and Synthetic Control Methods in Causal Inference Study
Zhiyiuan Dong
11:20 AM

Heterogeneous Treatment Effects with Subgroups via the Overlap Weights
Elizabeth Lorenzi
11:35 AM

Matched Cohort Studies and Missing Data in Electronic Health Record Data
Alexander Levis, Harvard School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
11:35 AM

True Trend or Just Pretend? Alternative Loss Functions to Reduce Overfitting in Synthetic Controls
Alyssa Bilinski; Laura A Hatfield, Harvard Medical School
12:00 PM

Inference for Change Points in High-Dimensional Data via Self-Normalization
Runmin Wang, University of Illinois at Urbana-Champaign
12:05 PM

Causal Spatial Analysis in the Presence of Unmeasured Confounders
Brian Reich, North Carolina State University; Shu Yang, North Carolina State University; Yawen Guan, North Carolina State University
2:05 PM

On Post Dimension Reduction Statistical Inference
Kyongwon Kim, The Pennsylvania State University
2:05 PM

Generalized Polya Urn Process Models for Bayesian Phylogenetic Inference
Mandev Gill, Rega Institute, KU Leuven; Philippe Lemey, Rega Institute, KU Leuven; Marc Suchard, UCLA; Guy Baele, Rega Institute / KU Leuven
2:05 PM

Bayesian Finite Population Estimates from a Two-Stage Sample with Spatial Correlation
Alec M Chan-Golston, University of California, Los Angeles; Sudipto Banerjee, UCLA; Mark Handcock, University of California, Los Angles
2:15 PM

Causal Inference with Interfering Units for Cluster and Population Level Treatment Allocation Programs
Georgia Papadogeorgou, Duke; Fabrizia Mealli, University of Florence; Corwin Zigler, University of Texas at Austin
2:25 PM

Statistical Analysis of E-Sports Data
Nicholas Clark, United States Military Academy; Brian Macdonald, Greater Than Plus Minus
2:25 PM

Truncated Thompson Sampling for Safe and Efficient Precision Public Health
Eric B Laber, NC State University; Jesse Clifton, NC State University
2:30 PM

Revisiting Design-Based Inference
Jean Opsomer, Westat
2:30 PM

Measurement Error, Spatial Confounding, and Changing Target Populations
Joshua Keller, Colorado State University
2:45 PM

Novel Methods for Incorporating Sample Designs in Bayesian Inference
Michael Elliott, University of Michigan; Yuqi Zhai, University of Michigan; Trivellore Raghunathan, University of Michigan
2:55 PM

Detecting New Signals Under Background Mismodelling
Sara Algeri, University of Minnesota
2:55 PM

An Ensemble Method for Interval-Censored Time-To-Event Data
W. Yao, Stern, New York University; H. Frydman, New York University; Jeffrey S. Simonoff, New York University
3:05 PM

Mediation Analysis for Zero-Inflated Mediators
Zhigang Li, University of Florida; Janaka Peragaswaththe Liyanage, University of Florida; A. James O'Malley, Dartmouth College; Susmita Datta, ASA Committee on Women in Statisitcs
3:05 PM

Causal Inference and Casual Spatial Models: The Importance of Modeling Mechanism in Spatial Data
Ephraim Hanks, Pennsylvania State University
3:05 PM

Identification of Causal Effects Under Contagion
Xiaoxuan Cai, Yale University; Forrest W Crawford, Yale School of Public Health; Wen Wei Loh, Ghent University
3:05 PM

First-Order Newton-Type Estimator for Distributed Estimation and Inference
Xi Chen, New York University; Weidong Liu, Shanghai Jiaotong University; Yichen Zhang, New York University
3:20 PM

Constrained Bayesian Inference Through Posterior Projections
Sayan Patra, Duke University; David Dunson, Duke University
3:25 PM

Tuesday, 07/30/2019

Bayesian Inference on Multivariate Medians and Quantiles
Indrabati Bhattacharya, North Carolina State University; Subhashis Ghosal, North Carolina State University

Bootstrap-Based Inference Method for Time-Dependent Dual-Frequency Coherence
Kamila Kazimierska, KAUST, Saudi Arabia; Ania Dudek, AGH, Poland; Hernando Ombao, King Abdullah University of Science and Technology (KAUST)

A Comparison of Statistical Causal Inference Methods for Animal Health Applications
Ju Ji, Iowa State University; Chong Wang, Iowa State University; Zhulin He, Iowa State University; Karen Hay, QIMR Berghofer Medical Research Institute; Tamsin Barnes, The University of Queensland; Annette O'Connor, Iowa State University

Use of Quadratic Inference Function for Estimation of Marginal Intervention Effects in Cluster Randomized Trials
Hengshi Yu, University of Michigan, Ann Arbor; Fan Li, Duke University; Elizabeth L Turner, Duke University

Testing Exchangeability in Spatiotemporal Random Processes
Trevor Harris, University of Illinois Urbana Champaign; Bo Li, University of Illinois at Urbana-Champaign; Nathan Steiger, Lamont-Doherty Earth Observatory; Jason Smerdon, Lamont-Doherty Earth Observatory; Naveen Naidu Narisetty, University of Illinois at Urbana Champaign; Derek Tucker, Sandia National Laboratories

An Event/Trial Binomial Model for Meaningful Change Inference in Randomized Clinical Trials
Daniel Serrano, Pharmerit International

Estimating the Causal Effect of Digoxin on Adverse Events in LVAD Patients Using Marginal Structural Models
Katherine Hoffman, Weill Cornell Medicine; Ivan Diaz, Weill Medical College, Cornell University; Alberto Pinsino, Columbia University Medical Center; Paolo Colombo, Columbia University Medical Center; Melana Yuzefpolskaya, Columbia University Medical Center; Antonia Gaudig, Columbia University Medical Center; Eugene Royzman, Columbia University Medical Center; Melissa Mabasa, Columbia University Medical Center; Giulio Mondellini, Columbia University Medical Center

Principles of Electronic Health Record 101 for Statisticians
Debashis Ghosh, University of Colorado Anschutz Medical Campus

WITHDRAWN: Estimation and Inference of Heteroskedasticity Models with Latent Semiparametric Factors for Multivariate Time Series
Lyuou Zhang

Mean Treatment Effect Inference in the Presence of Heavy-Tailed Data
Luke Smith, Amazon

TRANSFERABILITY of CRASH MODIFICATION FACTORS via GRAPHICAL CAUSAL MODELS: AN INTRODUCTION
Gary Davis, University of Minnesota; Jingru Gao, University of Minnesota

Statistical Evaluation of Causal Treatment Effect on the Incidence and Severity of Adverse Events in Clinical Trials
Jiawei Duan, University of Kansas Medical Center; Jo Wick, University of Kansas Medical Center; Byron Gajewski, University of Kansas Medical Center, The University of Kansas Cancer; Matthew Mayo, University of Kansas Medical Center; Scott Weir, University of Kansas Medical Center

Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure
Simon Vandekar, Vanderbilt University; Theodore Satterthwaite, University of Pennsylvania; Cedric K Xia, University of Pennsylvania; Azeez Adebimpe, University of Pennsylvania; Kosha Ruparel, University of Pennsylvania; Ruben C Gur, University of Pennsylvania; Raquel E Gur, University of Pennsylvania; Russell Shinohara, University of Pennsylvania

Patterns of Effects and Sensitivity Analysis for Differences-In-Differences
Luke Keele, University of Pennsylvania; Dylan Small, University of Pennsylvania; Colin B. Fogarty, Massachusetts Institute of Technology

Pre-Conceptions of Statistical Inference in Biostatistics
Aimee Schwab-McCoy, Creighton University

A Bayesian Zero Inflated Binomial Model for Repeated Measures Count Data
Benjamin W. Rogers, UCLA

Variational Inference for Latent Space Models for Dynamic Networks
Yan Liu, University of Illinois at Urbana-Champaign; Yuguo Chen, University of Illinois at Urbana-Champaign

An Investigation into How Model Uncertainty Is Reflected Through the Posterior Variance for Partial Regression Coefficients
Katharine Banner, Montana State University; Megan Higgs, Montana State University

Bayesian Inference for Exponential Random Graph Models via Kernel Bayes Rule
Fan Yin, University of California, Irvine; Carter Tribley Butts, University of California, Irvine

Predictive Inference with Random Forests
Lucas Mentch, University of Pittsburgh
8:35 AM

Randomness-Free Study of Smooth M-Estimators
Arun Kuchibhotla, University of Pennsylvania
8:35 AM

Fast and Robust Evolutionary Rate and Selection Pressure Inference Using Variational Bayes Techniques
Sergei Pond, Temple University
8:35 AM

Statistical and Computational Guarantees for Variational Boosting
Biraj Guha, Texas A & M University; Debdeep Pati, Texas A&M University; Anirban Bhattacharya, TAMU
8:35 AM

Acknowledging Our Foundations: Promoting Discussion of Historical and Philosophical Challenges Underlying Statistical Inference
Megan Higgs, Montana State University
8:35 AM

Approximate Bayesian Inference via Sparse Grid Quadrature Evaluation for Hierarchical Models
Joshua Hewitt, Colorado State University; Jennifer A Hoeting, Colorado State University
8:50 AM

Growing Certain: Students’ Mechanistic Reasoning About the Empirical Law of Large Numbers in a Simulation-Based Inference Course
Ethan Brown, University of Minnesota; Robert delMas, University of Minnesota
8:50 AM

Challenges When Applying Advanced Analytics to Multiple Data Sources
David Ohlssen, Novartis
8:55 AM

Prediction and Causal Inference Using Linear Regularized Regression with an Application to Commuting in Ireland
Achim Ahrens, Economic and Social Research Institute; Christian B Hansen, University of Chicago Booth School of Business; Mark E Schaffer, Heriot-Watt University
8:55 AM

Modeling Site-To-Site Variability of Synonymous Substitution Rates: Impacts on Statistical Inference
Spencer Muse, North Carolina State University; Sadie Wisotsky, Temple University; Sergei Kosakovsky Pond, Temple University
8:55 AM

Variable Selection in Enriched Dirichlet Process with Applications to Causal Inference
Kumaresh Dhara, University of Florida; Michael Daniels, University of Florida
9:05 AM

Sensitivity Analysis Statistics for Routine Reporting: The Partial R2 and the Robustness Value
Carlos Leonardo Kulnig Cinelli, UCLA; Chad Hazlett, UCLA
9:05 AM

Fitness-Dependent Birth-Death Models for Phylodynamic Inference of Adaptive Evolution
David Rasmussen, North Carolina State University; Tanja Stadler, ETH Zurich
9:15 AM

High-Dimensional Empirical Likelihood Methods for Dependent Functional Data
Guangxing Wang, University of California, Davis; Wolfgang Polonik, University of California, Davis
9:20 AM

On the Robustness of Doubly Robust Estimators in Causal Inference
Weicong Lyu, University of Wisconsin-Madison; Peter Steiner, University of Wisconsin
9:20 AM

Integrative Network Modeling Approaches to Precision Cancer Medicine
Kim-Anh Do, University of Texas M.D. Anderson Cancer Center
9:25 AM

Cure Regression Functions: Inference, Variable Selection and Model Checks
Valentin Patilea, CREST Ensai
9:25 AM

Analytic Strategies of Using Propensity Scores in Clinical Data Augmentation
Junjing Lin, AbbVie; Margaret Gamalo-Siebers, Eli Lilly; Ram Tiwari, CDRH, FDA
9:35 AM

Rethinking Meta-Analysis: Addressing Problems of Non-Transportability When Combining Treatment Effects Across Patient Populations
Tat Thang Vo, Ghent University; Stijn Vansteelandt, Ghent University; Raphael Porcher, Centre de Recherche Épidémiologie et StatistiqueS Université de Paris (CRESS-UMR1153)
9:35 AM

Testing for Independence with BERET
Duyeol Lee, University of North Carolina at Chapel Hill; Kai Zhang, University of North Carolina, Chapel Hill; Michael Kosorok, University of North Carolina at Chapel Hill
9:35 AM

Towards Realtime Bayesian Inference for Pathogen Phylodynamics
Guy Baele, Rega Institute / KU Leuven; Mandev Gill, Rega Institute, KU Leuven; Philippe Lemey, Rega Institute, KU Leuven; Marc Suchard, UCLA; Andrew Rambaut, University of Edinburgh
9:35 AM

Integrative Multi-View Regression: Statistical Inference with De-Biased and Scaled Composite Nuclear Norm Penalization
Xiaokang Liu, University of Connecticut; Kun Chen, University of Connecticut
9:35 AM

Statistical Inference of Chromatin 3D Structures from DNA Methylation Data
Shili Lin, The Ohio State University
9:50 AM

Inference in High-Dimensional Models Without Regularization
Ying Zhu, UC San Diego; Kaspar Wuthrich, UC San Diego
9:55 AM

Semiparametric Inference for Merged Data from Multiple Overlapping Sources
Takumi Saegusa, University of Maryland
9:55 AM

The Effect of Bariatric Surgery on Health Care Costs: a Synthetic Control Approach Using Bayesian Structural Time Series
Christoph Kurz, Helmholtz Zentrum Muenchen
10:35 AM

Bayesian Model and Analysis of Particulate Matter Metal Mixtures
Boubakari Ibrahimou, Florida International University
10:35 AM

Variational Inference for Latent Space Models for Dynamic Networks
Yan Liu, University of Illinois at Urbana-Champaign; Yuguo Chen, University of Illinois at Urbana-Champaign
10:45 AM

Nonparametric Bayesian Estimation of Heterogeneous Causal Effects Using Real-World Data
Xinyi Xu, The Ohio State University; Bo Lu, The Ohio State University; Steve MacEachern, The Ohio State University; Ling Wang, Michigan State University
10:55 AM

Estimating the Health Consequence of Playing Football: Evidence from Observational Studies
Sameer K. Deshpande, CSAIL, MIT; Raiden Hasegawa, University of Pennsylvania; Dylan Small, University of Pennsylvania; Jordan Weiss, University of Pennsylvania
11:00 AM

Inference for High-Dimensional Linear Mixed Effects Models: a Quasi-Likelihood Approach
Sai Li, University of Pennsylvania; Hongzhe Li, University of Pennsylvania; T. Tony Cai, The Wharton School, University of Pennsylvania
11:05 AM

Posterior Predictive Treatment Assignment Methods for Causal Inference in the Context of Time-Varying Treatments
Shirley Liao
11:15 AM

Divergence Based Inference for High-Dimensional GLMM
Lei Li, George Mason University; Anand Vidyashankar, George Mason University
11:20 AM

Treatment Effect Heterogeneity in MLB Bunting Strategies
Katherine Evans, Verily Life Sciences; Michael Lopez, NFL
11:25 AM

Randomization for the Direct Effect of an Infectious Disease Intervention in a Clustered Study Population
Forrest W Crawford, Yale School of Public Health; Olga Morozova, Yale School of Public Health; Daniel Eck, Yale School of Public Health
11:35 AM

A Bayesian Joint Model for Longitudinal Frequency and Duration Outcomes in a Migraine Study
Gul Inan, Istanbul Technical University
11:35 AM

Reinforced Designs for Observational Studies of Treatment Effects: Multiple Instruments Plus Control Groups as Evidence Factors
Bikram Karmakar, University of Pennsylvania; Dylan Small, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania
11:35 AM

Bayesian Inference for the Common Location Parameter of Several Shifted-Exponential Populations
Sumith Gunasekera, The University of Tennessee - Chattanooga
11:35 AM

Fundamental Limits of Exact Support Recovery in High Dimensions
Zheng Gao, University of Michigan; Stilian Stoev, University of Michigan
11:35 AM

Bayesian Inference for Exponential Random Graph Models via Kernel Bayes Rule
Fan Yin, University of California, Irvine; Carter Tribley Butts, University of California, Irvine
11:45 AM

Building Blocks for Estimating Causal Effects of Athlete Behavior in Football and Hockey Using Player Tracking Data
Michael Lopez, Skidmore College
11:50 AM

Debiased Inference in High-Dimensional Single-Index Models Under Gaussian Design
Hamid Eftekhari, University of Michigan; Moulinath of Banerjee, university of michigan; Ya'acov Ritov, university of michigan
11:50 AM

A Bayesian Zero Inflated Binomial Model for Repeated Measures Count Data
Benjamin W. Rogers, UCLA
11:50 AM

Inference for Heterogeneous Quantile Treatment Effects in High Dimensions: Rank and Score Balancing
Alexander Giessing, Princeton University; Jingshen Wang, University of Michigan
12:05 PM

Pre-Conceptions of Statistical Inference in Biostatistics
Aimee Schwab-McCoy, Creighton University
12:10 PM

Balancing Weights for Causal Inference: Theory and Practice
Fan Li, Duke University
2:05 PM

Propensity Score Weighting for Causal Inference with Multiple Treatments
Fan Li, Duke University; Fan Li, Duke University
2:05 PM

Combining Multiple Genomic Data Sets
Sihai Zhao, University of Illinois at Urbana-Champaign
2:05 PM

Estimation of Average Causal Effect in Clustered Data Using Multiple Imputation
Recai Yucel, SUNY Albany School of Public Health; Meng Wu, Department of Health, NY State
2:05 PM

Transfer Learning for Estimating Causal Effects Using Neural Networks
Soeren Kuenzel; Jasjeet Sekhon, UC Berkeley; Bradly Reinhold Stadie, UC Berkeley; Nikita Vemuri, UC Berkeley
2:05 PM

Triplet Matching for Estimating Causal Effects with Three Treatment Arms and Extensions
Giovanni Nattino, The Ohio State University; Bo Lu, The Ohio State University; Junxin Shi, The Research Institute of Nationwide Children's Hospital; Stanley Lemeshow, Ohio State University; Henry Xiang, The Research Institute of Nationwide Children's Hospital
2:25 PM

ReLOOP: Precise Unbiased Estimation in Randomized Experiments Using Observational Auxilliary Data
Adam Sales, University of Texas At Austin; Johann A Gagnon-Bartsch, University of Michigan; Anthony Botelho, Worcester Polytechnic Institute; Neil T Heffernan, Worcester Polytechnic Institute; Edward Wu, University of Michigan; Luke Miratrix, Harvard University
2:25 PM

Honey I Shrunk the Intercept
Ananda Sen, University of Michigan; Phil Boonstra, University of Michigan
2:30 PM

Matching Algorithms for Causal Inference with Multiple Treatments
Anthony D. Scotina, Simmons University; Roee Gutman, Brown University
2:35 PM

Latent Variables in Causal Inference: Interpretation and Challenges
Tyler VanderWeele, Harvard University
2:45 PM

Causal Isotonic Regression
Ted Westling, University of Massachusetts Amherst; Marco Carone, University of Washington; Peter Gilbert, Fred Hutchinson Cancer Research Center
2:45 PM

Black Box Variational Inference
Rajesh Ranganath, NYU Courant Institute of Mathematical Science
2:45 PM

Integrating "two Cultures" in Data Science: Predictability, Computability, and Stability (PCS)
Bin Yu, UC Berkeley
2:50 PM

Causal Inference Under Interference in Dynamic Therapy Group Studies
Susan Paddock, NORC at the University of Chicago; Bing Han, RAND Corporation; Lane Burgette, RAND Corporation
2:50 PM

Closed Testing and Admissibility of Procedures Controlling False Discovery Proportions
Jelle Goeman, Leiden University Medical Center; Jesse Hemerik, University of Oslo; Aldo Solari, University of Milano-Bicocca
3:05 PM

Geometric Bayes
Andrew Holbrook, UCLA Department of Human Genetics
3:05 PM

Estimation and Comparison of Conditional Moment Models
Siddhartha Chib, Washington University in St. Louis
3:05 PM

Bayesian Inference for Sample Surveys in the Presence of High-Dimensional Auxiliary Information
Yutao Liu, Columbia University; Andrew Gelman, Columbia University; Qixuan Chen, Columbia University
3:05 PM

Particle Filters in High Dimensions
Peter Jan van Leeuwen, Colorado State University and University of Reading (UK); Manuel Pulido, University of Reading
3:20 PM

Doubly Robust Inference Procedures for Analyzing the Cancer Registry Data
Sho Komukai, Osaka University Graduate School of Medicine; Satoshi Hattori, Graduate School of Medicine, Osaka University
3:20 PM

Nonparametric Inference of Population Size History via Survival Analysis
Jonathan Terhorst, University of Michigan
3:35 PM

Wednesday, 07/31/2019

Prediction Accuracy and Robustness to Non-Normality of Two Methods of Predicting Random Effects in Linear Mixed Effects Models: Empirical Bayes vs. Quadratic Inference Functions
Zhiwen Wang, University of Kansas Medical Center ASA Student Chapter; Francisco Diaz, The University of Kansas Medical Center; John D Keighley, University of Kansas Medical Center; Jianghua (Wendy) He, The University of Kansas Medical Center; Jo Wick, University of Kansas Medical Center

Bayesian Nonparametric Inference on the Dynamic Connectivity States
Meini Tang, King Abdullah University of Science and Technology; Chee-Ming Ting, KAUST; Hernando Ombao, King Abdullah University of Science and Technology (KAUST); Siti Balqis Samdin, King Abdullah University of Science and Technology

Infinite Parameter Estimates in Proportional Hazards Regression
John E Kolassa, Rutgers, the State University of New Jersey; Juan Zhang, Allergan Pharmaceuticals

A Framework for Covariate Balance Using Bregman Distances
Kevin Patrick Josey, Colorado School of Public Health; Elizabeth Juarez-Colunga, University of Colorado Denver; Debashis Ghosh, University of Colorado Anschutz Medical Campus

Constructing Causal Methylation Network by Additive Noise Model (ANM)
Shudi Li, University of Texas School of Public Health; Rong Jiao, UT Health; Momiao Xiong, University of Texas School of Public Health

Estimating Causal Effect of Multiple Treatments with Censored Data in Observational Studies
Youfei Yu, University of Michigan; Min Zhang, University of Michigan; Bhramar Mukherjee, University of Michigan

Robust Inference on the Causal Effects of Stochastic Interventions Under Two-Phase Sampling, with Applications in Vaccine Efficacy Trials
Nima Hejazi, UC Berkeley

Statistical Modeling and Inference for Infectious Disease Dynamics: a Time-Series Approach
Niloofar Ramezani, George Mason University

Simultaneous Estimations for Contrasts of Quantiles
Gemechis Djira, South Dakota State University; Lawrence Segbehoe, South Dakota State University; Frank Schaarschmidt, Leibniz Universität Hannover

Spatial Point Processes and Temporal Inferences Using Moran Statistics
Norou Diawara, Old Dominion University; Jennifer Lorio, Old Dominion University

Exact Inference for Analyzing Contingency Tables in Finite Populations
Shiva Dibaj, UT MD Anderson Cancer Center; Gregory Wilding, SUNY at Buffalo; Graham Warren, University of Kentucky

A Simple Recipe for Making Accurate Parametric Inference in Finite Sample
Mucyo Karemera, Penn State University; Stephane Guerrier, University of Geneva; Samuel Orso, University of Geneva; Maria-Pia Victoria-Feser, University of Geneva

Embarrassingly Parallel Inference for Gaussian Processes
Michael Minyi Zhang, Princeton University; Sinead Williamson, UT Austin

Calibrating Strength Model Parameters Using Taylor Anvil Data
Kathleen Schmidt, Lawrence Livermore National Laboratory; Jason Bernstein, Lawrence Livermore National Laboratory; Ana Kupresanin, Lawrence Livermore National Laboratory; Nathan Barton, Lawrence Livermore National Laboratory; David Rivera, Lawrence Livermore National Laboratory; Jeffrey Florando, Lawrence Livermore National Laboratory
8:35 AM

The Evaluation of Cellphone Distraction Related Crash Risk Using Case-Crossover Design
Danni Lu, Virginia Tech; Feng Guo, Virginia Tech
8:35 AM

High-Dimensional Inference via Adaptive Bayes
Jiapeng Liu, Purdue Unversity; Yixuan Qiu, Carnegie Mellon University; Xiao Wang, Purdue University
8:50 AM

Approximate Bayesian Bootstrap Procedures to Estimate Multilevel Treatment in Observational Studies with Application to Type 2 Diabetes Treatment Regimens
Roee Gutman, Brown University; Anthony D. Scotina, Simmons University; Robert J Smith, Brown University; Andrew R Zullo, Brown University
9:00 AM

Detecting Heterogeneous Treatment Effect with Instrumental Variables in Causal Inference
Michael Johnson, University of Wisconsin-Madison; Hyunseung Kang, University of Wisconsin-Madison
9:05 AM

Spatial Point Processes and Temporal Inferences Using Moran Statistics
Norou Diawara, Old Dominion University; Jennifer Lorio, Old Dominion University
9:10 AM

Exact Inference for Analyzing Contingency Tables in Finite Populations
Shiva Dibaj, UT MD Anderson Cancer Center; Gregory Wilding, SUNY at Buffalo; Graham Warren, University of Kentucky
9:10 AM

Sample Matching and Double Robust Estimation with Non-Probability Samples
Changbao Wu, University of Waterloo
9:15 AM

Comparison of Assumptions Required for Estimating Different Parameters in the Presence of Intercurrent Events
Michael Rosenblum, Johns Hopkins Bloomberg School of Public Health
9:15 AM

Smoothed Empirical Likelihood Inference for the Youden Index Subject to Limit of Detection
Dongliang Wang, SUNY Upstate Medical University
9:20 AM

The Role of Satellite Data in Making Bayesian Inference on Carbon Dioxide Fluxes: Where, When, How Much, and How Certain?
Noel Cressie, University of Wollongong; Andrew Zammit-Mangion, University of Wollongong
9:25 AM

Post Selection Inference for High-Dimensional Time Series
Anand Vidyashankar, George Mason University; Jeffrey Collamore, University of Copenhagen
9:35 AM

Embarrassingly Parallel Inference for Gaussian Processes
Michael Minyi Zhang, Princeton University; Sinead Williamson, UT Austin
9:40 AM

Robust 'Squared' Estimators to Account for Selection Bias Due to Death in Estimating the Effect of Wealth Shock on Cognition for the Health Retirement Study
Yaoyuan Vincent Tan, Rutgers University; Michael Elliott, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute; Lindsay Pool, Northwestern University
9:50 AM

Hierarchical Bayesian Change-Point Models for Chemical Properties Inference
Amanda Koepke, National Institute of Standards and Technology; Felix Jimenez, University of Colorado, NIST; Kenneth Kroenlein, National Institute of Standards and Technology; Chris Muzny, National Institute of Standards and Technology
9:50 AM

A Parsimonious Personalized Dose Finding Model via Dimension Reduction
Wenzhuo Zhou, University of Illinois Urbana-Champaign; Ruoqing Zhu, University of Illinois Urbana-Champaign
9:50 AM

Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models
Fei Wang, CarGurus; Ling Zhou, Southwestern University of Finance and Economics; Lu Tang, University of Pittsburgh; Peter X.K. Song , School of Public Health, University of Michigan
9:50 AM

Optimizing the Personalized Timing for Treatment Initiation with Continuous or Multiple Random Decision Points
Ming Tang, University of Michigan; Lu Wang, University of Michigan; Haoda Fu, Eli Lilly and Company; Yebin Tao, Google
10:05 AM

Tensor Regression and Imaging-Based Inference
Heping Zhang, Yale University; Long Feng, Yale University; Xuan Bi, University of Minnesota
10:35 AM

Calibrating Validation Samples When Correcting for Measurement Error in Intervention Study Outcomes
Benjamin Ackerman, Johns Hopkins Bloomberg School of Public Health; Elizabeth A Stuart, Johns Hopkins Bloomberg School of Public Health; Juned Siddique, Feinberg School of Medicine, Northwestern University
10:35 AM

Measurement Error-Robust Causal Inference via Synthetic Instrumental Variables
Caleb Miles, Columbia; Brent A. Coull, Harvard T. H. Chan School of Public Health; Linda Valeri, Columbia University Mailman School of Public Health
10:35 AM

Circuit Fault Diagnosis Using Simulation and Bayesian Inference
Qianqian Shan, Iowa State University; Stephen Holland, Iowa State University; William Q. Meeker, Iowa State University
10:50 AM

Inference for Volatility Functionals of Ito Semimartingales Observed with Noise
Richard Chen, University of Chicago
10:50 AM

Fast Spatial Inference in the Homogeneous Ising Model
Ranjan Maitra, Iowa State University; Alejandro Murua, University of Montreal
10:50 AM

A Causal Replication Framework for Designing and Assessing Replication Efforts
Peter Steiner, University of Wisconsin; Vivian Wong, University of Virginia
10:55 AM

Small Area Models for Skewed Brazilian Business Survey Data
Fernando Moura, IM-UFRJ; Denise Britz Nascimento Silva, ENCE-IBGE; Andre Felipe Neves, IBGE
10:55 AM

Causal Inference Using Propensity Score Methods with Clustered Survey Data
Hyunshik James Lee, Westat; Duck-He Yang, Westat; Ning Rui, Westat
10:55 AM

Improving External Validity of A/B Testing Using Jackknife
Yu Wang, University of California, Berkeley; Somit Gupta, Microsoft Corporation; Jiannan Lu, Microsoft Corporation; Ali Mahmoudzadeh, Microsoft Corporation; Sophia Liu, Microsoft Corporation
11:00 AM

Asymmetric Extremal Dependence Modeling, with Application to Cryptocurrency Market Data
Yan Gong, KAUST; Raphaël Huser, King Abdullah University of Science and Technology
11:05 AM

Flexibly Accounting for Exposure Measurement Error in Counterfactual Risk Functions
Jessie Edwards, Univeristy of North Carolina at Chapel Hill
11:15 AM

Observational Studies of Peer Effects:
Dean Eckles, MIT; Eytan Bakshy, Facebook
11:15 AM

Matching on Generalized Propensity Scores with Continuous Exposures
Xiao Wu, Harvard University; Fabrizia Mealli, University of Florence; Marianthi-Anna Kioumourtzoglou, Mailman School of Public Health, Columbia University; Francesca Dominici, Harvard T.H. Chan School of Public Health; Danielle Braun, Harvard University
11:15 AM

Assessing the Causal Effect of Cumulative Load for Recurrent Injury Events in Professional Tennis Using a Flexible Cox Marginal Structural Model
Stephanie Kovalchik, Tennis Australia/Victoria University
11:15 AM

A Unified Approach to Nonparametric Variable Importance Assessment
Brian Williamson, University of Washington; Noah Simon, University of Washington; Marco Carone, University of Washington
11:15 AM

Assessing the Ratio of Means as a Causal Estimand in Clinical Endpoint Bioequivalence Studies in the Presence of Intercurrent Events
Yiyue Lou, University of Iowa College of Public Health; Michael P. Jones, University of Iowa College of Public Health; Wanjie Sun, FDA
11:20 AM

Efficient Sampling for Imbalanced Large Categorical Data Using Piece-Wise Deterministic Markov Chain Monte Carlo
Deborshee Sen, Duke University; Matthias Sachs, Duke University ; David Dunson, Duke University; Jianfeng Lu, Duke University
11:20 AM

Limitations of Design-Based Causal Inference and A/B Testing Under Arbitrary and Network Interference
Guillaume Basse, UC Berkeley; Edoardo Airoldi, Temple
11:25 AM

Model-Free Confidence Intervals for Optimal Treatment Regimes
Yunan Wu, University of Minnesota; Lan Wang, University of Minnesota
11:35 AM

Nonparametric Tests for Multivariate Growth Curve Data: Practical Procedures in Finite Samples
Ting Zeng, University of Kentucky; Solomon W. Harrar, University of Kentucky
11:35 AM

Generative Link Prediction for Incomplete Networks with Node Features
Ji Zhu, University of Michigan
11:50 AM

Hierarchical Bayesian Models for Small Areas with Dirichlet Processes
Balgobin Nandram, Worcester Polytechnic Institute
11:55 AM

Lady Tasting Tea Lineups for Visual Statistical Inference
Karsten Maurer, Miami University; Seonjin Kim, Miami University; George Woodbury, Miami University
12:05 PM

Bayesian Inference for Network Meta-Regression Using Multivariate Random Effects with Applications to Cholesterol-Lowering Drugs
Joseph G Ibrahim, UNC; Sungduk Kim, NIH; Ming-Hui Chen, University of Connecticut; Arvind Shah, Merck, Inc.; Jianxin Lin, Merck, Inc.; Hao Li, Boehringer Ingelheim; Andrew Tershakovec, Merck, Inc
2:05 PM

Penalized Spline of Propensity
Roderick J Little, University of Michigan School of Public Health; Tingting Zhou, University of Michigan School of Public Health; Michael Elliott, University of Michigan
2:05 PM

Visual Inference for Model Checking
Adam Loy, Carleton College; Heike Hofmann, Iowa State University; Dianne Cook, Monash University
2:05 PM

Statistical Properties of Stochastic Gradient Descent
Panagiotis Toulis, University of Chicago Booth School of Business; Jerry Chee, University of Chicago
2:05 PM

Doubly-Robust Inference for Causal Effects
Marco Carone, University of Washington; Ted Westling, University of Massachusetts Amherst; David Whitney, University of Washington
2:05 PM

Dirichlet Process Gaussian Process Model for Photometric Redshift
Arindam Fadikar; David Higdon, Virginia Tech; Jonas Chaves-Montero, Argonne National Lab; Salman Habib, Argonne National Lab
2:05 PM

Did You Conduct a Sensitivity Analysis? a New Weighting-Based Approach for Evaluations of the Average Treatment Effect for the Treated
Guanglei Hong, University of Chicago; Fan Yang, University of Colorado Denver; Xu Qin, University of Pittsburgh
2:05 PM

Innovations to Assess Program Attribution and Calculate Return on Investment in Large-Scale Health Programs
Jiaqi Li, Booz Allen Hamilton; Ping Yu, Booz Allen Hamilton
2:05 PM

On the CUSUM Changepoint Estimator for Network Data
Shirshendu Chatterjee, City University of New York, City College; Sharmodeep Bhattacharyya, Oregon State University; Peter J Bickel, University of California, Berkeley; Soumendu Sundar Mukherjee, Indian statistical Institute
2:20 PM

Can You Become Skillful Over Time to Influence Visual Inference
Mahbubul Majumder, University of Nebraska at Omaha; Dianne Cook, Monash University; Heike Hofmann, Iowa State University
2:20 PM

The P-LOOP Estimator: Covariate Adjustment in Paired Experiments
Edward Wu, University of Michigan; Johann A Gagnon-Bartsch, University of Michigan
2:20 PM

Estimating Optimal Dynamic Treatment Regimes with Survival Outcomes: An Application to the Treatment of Type 2 Diabetes
Gabrielle Simoneau, McGill University; Erica Moodie, McGill university; Robert Platt, McGill University; Laurent Azoulay, McGill University
2:30 PM

Subdata Selection Methods
John Stufken, Arizona State University
2:30 PM

The Never-Ending MCMC Revolution: Making Dempster-Shafer Modeling Practical
Ruobin Gong, Rutgers University; Xiao-Li Meng, Harvard University
2:30 PM

Deep Visual Inference: Teaching Computers to See Rather Than Calculate Correlation
Giora Simchoni, vFunction
2:35 PM

Spatio-Temporal Causal Intervention Effects for Opiate Overdose Incidents in Cincinnati, Ohio
Zehang Richard Li, Yale University; Forrest W Crawford, Yale School of Public Health; Joshua Warren, Yale University; Katie McConnell, Yale University; Gregg Gonsalves, Yale School of Public Health
2:35 PM

Generalized Meta-Analysis for Combining Disparate Risk Factor Information Across Studies: Inference on Multiple Regression Based Risk Prediction Models
Prosenjit Kundu, The Johns Hopkins University Bloomberg School of Public Health; Runlong Tang, The Johns Hopkins University Bloomberg School of Public Health; Nilanjan Chatterjee, Johns Hopkins University
2:45 PM

Model-Free Policy Evaluation
Rina Friedberg, Stanford University; Stefan Wager, Stanford University; Susan Athey, Stanford University
2:45 PM

Longitudinal Causal Inference Using EHRs
Roy Adams, Johns Hopkins University; Katharine E Henry, Johns Hopkins University; Hossein Soleimani, University of California - San Fransisco; Michael Rosenblum, Johns Hopkins Bloomberg School of Public Health; Suchi Saria, Johns Hopkins University
2:45 PM

Statistical Lineups for Bayesians
Susan Vanderplas, Iowa State University; Heike Hofmann, Iowa State University
2:50 PM

Fiducial Selector: Scalable Statistical Inference for High-Dimensional Regression Problems
Thomas C. M. Lee, UC Davis; Jan Hannig, UNC Chapel Hill; Randy Lai, U of Maine; Chunzhe Zhang, UC Davis
2:55 PM

Adjusting for Bias Induced by Informative Adaptive Designs
Nancy Flournoy, University of Missouri; Assaf P Oron, Institute for Disease Modeling
2:55 PM

Dealing with Time-Varying Eligibility for Exposure Using the Target Trials Approach to Causal Inference with Electronic Health Records
Mireille Schnitzer, University of Montreal
2:55 PM

Bayesian Nonparametric Model for Zero-Inflated Outcomes: Clustering, Prediction, and Causal Inference
Arman Oganisian, Univ of Pennsylvania; Nandita Mitra, University of Pennsylvania; Jason Roy, Rutgers University
3:05 PM

Benefit of Probability-Proportional-To-Size Sampling in Cluster Randomized Experiments
Yeng Xiong; Michael Higgins, Kansas State University
3:05 PM

Bayesian Inference in Nonparanormal Graphical Models
Jami Mulgrave; Subhashis Ghoshal, North Carolina State University
3:05 PM

Bias Correction and Sensitivity Analysis for Meta-Analysis of Studies with Zero-Inflated Outcomes
Zhengyang Zhou, University of North Texas Health Science Center; Minge Xie, Rutgers University; Thomas Trikalinos, Brown University; Eun-Young Mun, University of North Texas Health Science Center
3:20 PM

A Class of Generalized Self-Normalizers for Inference of Time Series and Its Optimal Weighting
Ting Zhang, Boston University
3:20 PM

Causal Inference with Confounders Missing Not at Random
Linbo Wang, University of Toronto; Shu Yang, North Carolina State University; Peng Ding, University of California, Berkeley
3:25 PM

Thursday, 08/01/2019

Selective Inference, Epistemology and Higher-Order Asymptotics
Todd Kuffner, Washington University
8:35 AM

Leveraging Exchangeability Assumptions to Make Inference in Regression with Network Outcomes
Bailey Fosdick, Colorado State University
8:35 AM

Higher Order Asymptotic Properties of the Bootstrap in Post Model Selection Inference in High Dimensions
Soumendra N Lahiri, North Carolina State University
8:35 AM

Statistical Methods for Leveraging Public Controls in a Two-Stage Epigenome-Wide Association Study
Ziqiao Wang, The University of Texas MD Anderson Cancer Center; Yue Lu, The University of Texas MD Anderson Cancer Center; Donghui Li, The University of Texas MD Anderson Cancer Center; Peng Wei, The University of Texas MD Anderson Cancer Center
8:50 AM

Estimation and Inference for the Mediation Effect in a Time-Varying Mediation Model
Xizhen Cai, Williams College; Donna L. Coffman, Temple University; Megan Piper , University of Wisconsin; Runze Li, Penn State University
8:50 AM

Matching Methods for Networked Causal Inference
Alexander Volfovsky, Duke University
8:55 AM

Statistical Inference in a Growth Curve Quantile Regression Model
Hyunkeun Cho, University of Iowa, College of Public Health
9:00 AM

Inference After Black Box Selection
Jelena Markovic, Stanford University
9:05 AM

From One Environment to Many: The Problem of Replicability of Statistical Inferences
Michael Higgins, Kansas State University; James J. Higgins, Kansas State University; Jinguang Lin, Kansas State University
9:05 AM

Causal Inference with Misspecified Exposure Mappings
Fredrik Sävje, Yale University
9:15 AM

Multivariate Spline Estimation and Inference for Varying Coefficient Models with Imaging Data
Shan Yu, Iowa State University; Guannan Wang, College of William and Mary; Li Wang, Iowa State University; Lijian Yang, Tsinghua University
9:15 AM

New Non-Asymptotic Results About Accuracy of Bootstrapping Procedures in Multivariate Setting
Mayya Zhilova, Georgia Institute of Technology
9:15 AM

A Model for Built Environment Effects on Mode Usages
Kai Yoshioka, University of California, Irvine; Tomomi Miyazaki, Kobe University
9:15 AM

Inference Without Compatibility
Michael Law, University of Michigan; Ya'acov Ritov, university of michigan
9:20 AM

Comprehensive Simultaneous Inference on Trend-Cycle Model
Sayar Karmakar, University of Florida; Wei Biao Wu, University of Chicago
9:20 AM

Online Skill Rating Algorithms
Nicolas Grenon-Godbout; Jonathan Dumas , Ubisoft; Simon Fontaine, Ubisoft; Gabrielle Rit, Ubisoft; Timothy Park, Ubisoft
9:35 AM

Finite Sample Unbiasedness in High Dimensions via the Iterative Bootstrap
Stephane Guerrier, University of Geneva
9:35 AM

Lessons Learned: Revising an Online Introductory Course
Erin E Blankenship, University of Nebraska-Lincoln; Ella Burnham, University of Nebraska- Lincoln
9:35 AM

Making Inference in Global Health When There Is Limited (Or No) Data
Bethany Hedt-Gauthier, Harvard Medical School
9:50 AM

Strengthening Clinical Trials Through Synthetic Control Arms
Antara Majumdar, Medidata Solutions; Ruthie Davi, Medidata Solutions; Steven Schwager, Medidata Solutions
9:55 AM

Model Selection Bias Invalidates Goodness of Fit Tests
Joshua Loftus, New York University
9:55 AM

Subvector Inference in PI Models with Many Moment Inequalities
Alexandre Belloni, Duke University; Federico Bugni, Duke University; Victor Chernozhukov, MIT
10:35 AM

Robust Inference Based on High-Dimensional Multiple Regressions with Application to Biomarker Screening
Youngseok Song, Colorado State University; Wen Zhou, Colorado State University; Wenxin Zhou, University of California, San Diego; Kim Hoke, Colorado State University
10:35 AM

Weighted Causal Inference Methods with Misclassified Outcomes
Grace Yi, University of Waterloo
10:50 AM

Moment-Based Estimation of Mixtures of Regression Models and Their Application in Genetic Studies
Claus Ekstrom, Biostatistics, University of Copenhagen
10:50 AM

Post-Selection Inference for Regression Models with Linear Constraints, with an Application to Microbiome Data
Jiarui Lu, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
10:50 AM

Optimal Inference Under Formal Privacy for Binomial Data
Aleksandra Slavkovic, Penn State University; Jordan Awan, Penn State University
10:55 AM

High-Dimensional Statistical Inferences with Over-Identification
Jinyuan Chang, Southwestern University of Finance and Economics; Song Xi Chen, Peking University; Cheng Yong Tang, Temple University; Tong Tong Wu, University of Rochester
11:00 AM

Impact of Certified Mail on Nonresponse Rates
Redouane Betrouni, U.S. Census Bureau; Peter Schilling, U.S. Census Bureau; Dedrick Owens, U.S. Census Bureau; Bac Tran, U.S. Census Bureau
11:05 AM

Understanding Lake Winnipeg Basin Walleye Fish Movement Patterns Using Bayesian State-Space Models
Inesh Munaweera , University of Manitoba; Saman Muthukumarana, University of Manitoba; Darren Gillis, University of Manitoba; Douglas Watkinson, Fisheries and Oceans Canada; Colin Charles, Fisheries & Oceans Canada
11:05 AM

Log-Linear Model Selection and Inference for Contingency Tables
Arnab Chowdhury, BRI, City of Hope, Duarte, CA; Subir Ghosh, University of California, Riverside
11:20 AM

Bias in Joint Spectral Embeddings
Benjamin Draves, Boston University ; Daniel L Sussman, Boston University
11:20 AM

Posterior Inference Under Adaptive Penalization for Quantile Regression
Yuanzhi Li, University of Michigan; Xuming He, University of Michigan
11:20 AM

A Unified Counterfactual Framework for Estimating Health Disparity
Chen-Pin Wang, University of Texas Health Science Center San Antonio
11:35 AM

Logical Inference on Treatment Efficacy When Subgroups Exist
Ying Ding, University of Pittsburgh
11:35 AM

Nonlinear Reaction-Diffusion Process Models Improve Inference for Population Dynamics
Xinyi Lu, Colorado State University
11:50 AM

Robust Estimation of Employment and Finance Data Using Bayesian Inference for a t-Mixture of Linear Mixed Models
Giang Trinh, US Census Bureau; Noah Bassel, U.S. Census Bureau; Bac Tran, U.S. Census Bureau
11:50 AM

Distance Metrics for Measuring Joint Dependence with Application to Causal Inference
Shubhadeep Chakraborty, Texas A&M University; Xianyang Zhang, Texas A&M University
11:50 AM

Subsampling Inference for Audit Sampling
Yongping Hao, HUD-OIG
11:50 AM

JSM 2019 Online Program

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