JSM 2016 Online Program

Keyword Search

Sessions Were Renumbered as of May 19.

Legend:
CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Keyword Search Criteria: Inference returned 269 record(s)

Sunday, 07/31/2016

Mixed-Effects Models for Resampled Network Statistics Improve Statistical Power to Find Differences in Functional Brain Connectivity
Manjari Narayan, Rice University; Genevera Allen, Rice University

Estimating the Causal Impact of Recommendation Systems from Observational Data
Amit Sharma, Microsoft Research; Jake Hofman, Microsoft Research; Duncan Watts, Microsoft Research

Causal Inference from Observational Studies with Partial Interference
Brian Barkley, The University of North Carolina at Chapel Hill; Michael Hudgens, The University of North Carolina at Chapel Hill
2:05 PM

On the Different Classes of Forensic Identification of Source Problems
Christopher Saunders, MITRE/South Dakota State University; Cedric Neumann, San Diego State University; Danica Ommen, South Dakota State University
2:05 PM

Statistical Inference in Partially Observed Stochastic Compartmental Models with Application to Cell Lineage Tracking of In-Vivo Hematopoiesis
Jason Xu, University of Washington; Vladimir Minin, University of Washington; Peter Guttorp, University of Washington; Samson Koelle, University of Washington; Janis Abkowitz, University of Washington; Chuanfeng Wu, National Heart, Lung, and Blood Institute; Cynthia Dunbar, National Heart, Lung, and Blood Institute
2:20 PM

Bayesian Rank Estimation Between Radio Stations for Small Demographic Groups
Neung Ha, Nielsen; William Waldron, Nielsen; Ekaterina Sortiriz, Nielsen
2:20 PM

Addressing Spatial Interference in Causal Analysis
Keith William Zirkle, Virginia Commonwealth University; David C. Wheeler, Virginia Commonwealth University; Saba W. Masho, Virginia Commonwealth University
2:25 PM

Evaluating Air Quality Control Policies: Bipartite Causal Inference with Interference
Corwin Zigler, Harvard T.H. Chan School of Public Health
3:05 PM

Statistical Lifetime Inference Based on Skew-Normal Accelerated Destructive Degradation Test Model
Chih-Chun Tsai, Tamkang University; Chien-Tai Lin, Tamkang University
3:05 PM

Consensus and Disagreement Among Distributions for Bayesian Inference
Ehsan Soofi, University of Wisconsin - Milwaukee; Mehdi Shoja, Citigroup
3:05 PM

Survival Mediation Analysis Using Semiparametric Probit Models with Application to Integrative Genomics
Yen-Tsung Huang, Brown University; Tianxi Cai, Harvard
3:20 PM

On Estimating Regression-Based Causal Effects Using Sufficient Dimension Reduction
Wei Luo, Baruch College
3:20 PM

Causal Mechanisms and Spillover Effects in Clustered Encouragement Designs
Fabrizia Mealli, University of Florence; Laura Forastiere, University of Florence
3:25 PM

A Distribution Function Approach for Signal Reconstruction from Ranking Data
Michael Schimek, Medical University of Graz ; Vendula Svendova, Medical University of Graz
3:25 PM

Bayesian Modeling and Inference for High-Dimensional Spatiotemporal Data Sets
Sudipto Banerjee, University of California at Los Angeles
4:05 PM

Causal Inferences from Observational Studies: Fracking, Earthquakes, and Oklahoma
Howard Wainer, NBME
4:05 PM

Maximizing the Information Content of a Balanced Matched Sample
Jose Zubizarreta, Columbia University; Cinar Kilcioglu, Columbia University
4:05 PM

Multiple Imputation Framework to Estimate Causal Effect of Testing on Treatment Decision
Irina Bondarenko, University of Michigan; Yun Li, University of Michigan
4:05 PM

Efficient Estimation for Randomly Censored Data with Linear Conditional Quantiles
Hiroyuki Taniai, Waseda University
4:20 PM

Longitudinal Gaussian Graphical Models for Autism Risk Gene Detection
Kevin Lin, Carnegie Mellon University
4:20 PM

Inference for Time-to-Event Endpoints in Combined Populations Under Disproportionate Stratified Sampling
Jyotirmoy Dey, AbbVie; Wuyan Zhang, Pfizer
4:25 PM

Generalized Full Matching
Fredrik Sävje, University of California at Berkeley; Michael Higgins, Kansas State University; Jasjeet Sekhon, University of California at Berkeley
4:25 PM

Characterizing Causal Treatment Effect Heterogeneity with Conditional Inference Trees
Julian Wolfson, University of Minnesota; Lauren Erickson, HealthPartners Institute for Education and Research
4:35 PM

Constructed Second Control Groups and Attenuation of Unmeasured Biases
Samuel D. Pimentel, University of Pennsylvania; Dylan Small, University of Pennsylvania; Paul R. Rosenbaum, University of Pennsylvania
4:45 PM

Sharp Bounds of Causal Effects on Ordinal Outcomes
Jiannan Lu, Microsoft; Peng Ding, University of California at Berkeley; Dasgupta Tirthankar, Harvard
4:50 PM

Two-Sample Inference on Quantile Lost Lifespan
Lauren Balmert, University of Pittsburgh; Jong-Hyeon Jeong, University of Pittsburgh
5:05 PM

Bayesian Inference in a PDE-Based Model of Exhaled Nitric Oxide
Patrick Muchmore; Sandrah P. Eckel, University of Southern California
5:05 PM

Censored Local Likelihood Inference for Modeling Nonstationarity in Spatial Extremes
Daniela Castro, King Abdullah University of Science and Technology; Raphaël Huser, KAUST
5:20 PM

Topological Inference on Time-Varying Gaussian Graphical Models
Kean Ming Tan; Junwei Lu, Princeton; Han Liu, Princeton; Tong Zhang, Rutgers University
5:20 PM

Network Analysis for Gene Signaling Pathways
Samir Lababidi, FDA; Taxiarchis Botsis, FDA
5:35 PM

Monday, 08/01/2016

Stratified Exact Test and Confidence Interval for Causal Effects on a Binary Outcome Based on Principal Stratification
Yasutaka Chiba

Statistical Inference on Dynamic System Models with Multiple Observation Units
Hongyuan Wang; David Allen, University of Kentucky

Causality in a Social World: Moderation, Mediation, and Spill-Over
Guanglei Hong, The University of Chicago

Adjustment by Minimum Discriminant Information in the Presence of Measurement Error
Daniel F. McCaffrey, Educational Testing Service; J.R. Lockwood, Educational Testing Service; Shelby Haberman, Educational Testing Service; Lili Yao, Educational Testing Service

Causal Inference with a Continuous Treatment and Outcome: Alternative Estimators for Parametric Dose-Response Functions
Douglas Galagate

Prediction with Confidence: A General Framework for Prediction
Jieli Shen, Rutgers University; Regina Liu, Rutgers University; Minge Xie, Rutgers University

Examples of How a P-Value Interpretation Depends on the Underlying Statistical Philosophy
Andrew Neath, Southern Illinois University

Bayesian Inference for Unidirectional Misclassification in Ordinal Covariates
Liangrui Sun; Chaoxiong Xia, Northern Illinois University; Yuanyuan Tang, Saint Luke's Health System; Shun Takai, Northern Illinois University

Inference with Cluster Data Under Informative Sampling
Jae-kwang Kim, Iowa State University; Seunghwan Park, Seoul National University
8:35 AM

EigenPrism: Inference for High-Dimensional Signal-to-Noise Ratios
Lucas Janson; Emmanuel Candes, Stanford University; Rina Foygel Barber, The University of Chicago
8:35 AM

Volatility Inference Using High-Frequency Financial Data and Efficient Computations
Jian Zou, Worcester Polytechnic Institute
8:35 AM

Top 5 Reasons You Can't Blame Students for Not Getting Inference
Christopher J. Malone, Winona State University
8:35 AM

Modeling and Inference for Multivariate Count Time Series
Konstantinos Fokianos, University of Cyprus; Paul Doukhan, University Cergy-Pontoise; Bard Stove, University of Bergen; Dag Tjostheim, University of Bergen
9:00 AM

P-Value Overdose in Medical Research: Problems and Solutions
J. Jack Lee, MD Anderson Cancer Center
9:15 AM

Theoretic, Algorithmic, and Empirical Issues in the Application of Directed Probabilistic Graphical Models for Network Inference When Analyzing Genomics Data
Jason Mezey, Cornell University
9:35 AM

Optimizing Graphical Multiple Testing Schemes in Late-Phase Drug Development
Eric Nantz, Eli Lilly and Company
9:35 AM

Testing for Network Effects in Field Experiments: Examples from Legislative Studies
Sayali Phadke, Penn State University; Bruce A. Desmarais, Penn State University
9:50 AM

A Note on Multiple Imputation Under Informative Sampling
Jae-kwang Kim, Iowa State University; Shu Yang, Harvard
10:35 AM

Statistical Inference for High-Dimensional Linear Regression
Tony Cai, University of Pennsylvania; Zijian Guo, University of Pennsylvania
10:35 AM

Estimation and Inference for the Incremental Cost-Effectiveness Ratio for Censored Survival Data
Donna Spiegelman, Harvard T.H. Chan School of Public Health
10:35 AM

Estimands: Are We Estimating What We Intend to Estimate?
Mouna Akacha , Novartis Pharma AG
10:35 AM

Latent Variable Methods for the Analysis of Genomic Data
John D. Storey, Princeton
10:35 AM

A Simple Fix for Bias Due to a Latent/Mismeasured Covariate in Propensity Score Weighting Analysis: Factor Scores from Models Inclusive Treatment and Other Covariates
Trang Q. Nguyen, Johns Hopkins Bloomberg School of Public Health; Cyrus Ebnesajjad, Johns Hopkins Bloomberg School of Public Health; Hwanhee Hong, Johns Hopkins Bloomberg School of Public Health; Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
10:50 AM

Peer Encouragement Designs in Causal Inference with Interference
Hyunseung Kang, Stanford University
10:55 AM

Distributed Estimation and Inference with Statistical Guarantees
Heather Battey, Imperial College London; Jianqing Fan, Princeton; Han Liu, Princeton; Junwei Lu, Princeton; Ziwei Zhu, Princeton
11:00 AM

Causal Inference with a Continuous Treatment and Outcome: Alternative Estimators for Parametric Dose-Response Functions
Douglas Galagate
11:05 AM

On the Inference of the Spikes for the High-Dimensional Covariance Matrix Based on High-Frequency Data
Keren Shen; JIANFENG YAO, The University of Hong Kong; Wai Keung Li, The University of Hong Kong
11:05 AM

Structure Testing for Sparse High-Dimensional Graphical Models: Lower Bounds and Algorithms
Matey Neykov, Princeton; Junwei Lu, Princeton; Han Liu, Princeton
11:05 AM

Prediction with Confidence: A General Framework for Prediction
Jieli Shen, Rutgers University; Regina Liu, Rutgers University; Minge Xie, Rutgers University
11:10 AM

Model-Assisted Design of Experiments in the Presence of Network-Correlated Outcomes
Guillaume Basse, Harvard
11:15 AM

Nonparametric Distributed Learning Architecture: Algorithm and Application
Scott Bruce, Temple University; Zeda Li, Temple University; Hsiang-Chieh Yang, Temple University; Subhadeep Mukhopadhyay, Temple University Fox School of Business
11:20 AM

Data-Driven Confounder Selection via Markov and Bayesian Networks
Jenny Haggstrom, Umea University
11:20 AM

The Design of Cluster-Randomized Trials Using Robust Methods for Right- and Interval-Censored Event Times
Yujie Zhong, Cambridge Institute of Public Health; Richard John Cook, University of Waterloo
11:25 AM

Testing High-Dimensional Differential Matrices, with Applications to Detecting Schizophrenia Genes
Kathryn Roeder, Carnegie Mellon University; Lingxue Zhu, Carnegie Mellon University; Jing Lei, Carnegie Mellon University
11:25 AM

Examples of How a P-Value Interpretation Depends on the Underlying Statistical Philosophy
Andrew Neath, Southern Illinois University
11:30 AM

How Many Needles in the Haystack? Adaptive Inference and Uncertainty Quantification for the Horseshoe
Stephanie Van Der Pas; Botond Szabo, Leiden University; Aad van der Vaart, Leiden University
11:35 AM

Matching Methods for Large Networks
Alexander Volfovsky, Harvard
11:35 AM

Profiling Hospitals Based on Degree of Aggressiveness in Treating Patients with Advanced Cancer
Tianyi Cai, Harvard; Sherri Rose, Harvard Medical School; Deborah Schrag, Dana-Farber Cancer Institute; Francesca Dominici, Harvard T.H. Chan School of Public Health
11:35 AM

Flexible Cure Rate Models and Associated Inference
Narayanaswamy Balakrishnan, McMaster University
11:50 AM

Semiparametric Inference via Sparsity-Induced Kriging for Massive Spatial Data Sets
Pulong Ma, University of Cincinnati; Emily Lei Kang, University of Cincinnati
11:50 AM

Inference in the Presence of Network Dependence Due to Contagion
Elizabeth Ogburn, The Johns Hopkins University
11:55 AM

Nonparametric Methods for Doubly Robust Estimation of Continuous Treatment Effects
Edward Kennedy, University of Pennsylvania; Zongming Ma, University of Pennsylvania; Dylan Small, University of Pennsylvania
2:05 PM

A Variational Bayesian Algorithm for Variable Selection
Xichen Huang; Jin Wang, University of Illinois; Feng Liang, University of Illinois at Urbana-Champaign
2:05 PM

Application of Propensity-Score Matching in Data Augmentation of Randomized Clinical Trials: A Case Study
Junjing Lin, AbbVie; Margaret Gamalo-Siebers, Eli Lilly and Company; Ram Tiwari, FDA/CDER/OT/OB
2:20 PM

Belief Functions: A Paradigm for Lower-Resolution Probabilistic Inference
Ruobin Gong, Harvard; Xiao-Li Meng, Harvard
2:20 PM

Inference of Stress Strength for Gompertz Model with Record Sample
Morgan Barnes, University of South Dakota; Yuhlong Lio, University of South Dakota; Nan Jiang, University of South Dakota
2:20 PM

Differentially Private Statistical Inference and Hypothesis Testing
Vishesh Karwa, Carnegie Mellon University
2:25 PM

Bayesian Nonparametric Modeling and Inference for Mean Residual Life Functions
Athanasios Kottas, University of California at Santa Cruz; Valerie Poynor, California State University at Fullerton
2:30 PM

Inference on High-Dimensional Sparse Poisson Means
Jyotishka Datta, Duke University/Statistical and Applied Mathematical Sciences Institute; David Dunson, Duke University
2:45 PM

In Memory of Bruce Lindsay: Quadratic Inference Function
Annie Qu, University of Illinois at Urbana-Champaign
2:55 PM

Bayesian Bounding of the Population Subgroup Which Benefits from Treatment
Patrick Schnell, University of Minnesota; Qi Tang, AbbVie; Walt Offen, AbbVie; Bradley Carlin, University of Minnesota
3:05 PM

Approximations of Markov Chains and Bayesian Inference
James Johndrow, Duke University; Jonathan Mattingly, Duke University; Sayan Mukherjee, Duke University; David Dunson, Duke University
3:05 PM

Causal Inference from Big Data: Theoretical Foundations and the Data-Fusion Problem
Elias Bareinboim, Purdue University
3:05 PM

Geometry, Likelihood, and Inference
Nancy Reid, University of Toronto
3:20 PM

A Bayesian Hierarchical Model for Pathway Analysis with Simultaneous Inference on Pathway-Gene-SNP Structure
Lei Zhang, The University of Texas at Dallas; Swati Biswas, The University of Texas at Dallas; Pankaj Choudhary, The University of Texas at Dallas
3:20 PM

Sharp Sensitivity Bounds for Mediation Under Unmeasured Mediator-Outcome Confounding
Peng Ding, University of California at Berkeley
3:25 PM

Disentangling Bed Nets and Spillover Effects in a Clustered Encouragement Design for Malaria Control: A Bayesian Principal Stratification Approach
Laura Forastiere, University of Florence; Fabrizia Mealli, University of Florence; Tyler J. VanderWeele, Harvard
3:25 PM

Robust Bayesian Inference via the Tilted Posterior
Yixin Wang, Columbia University; David Blei, Columbia University
3:35 PM

Tuesday, 08/02/2016

The Presentation of Results in Published Materials
Susan E. Spruill, Applied Statistics and Consulting

Variations of Q-Q Plots: The Power of Our Eyes!
Adam Loy, Lawrence University; Lendie Follett, Iowa State University; Heike Hofmann, Iowa State University

Bayesian Propensity Score Analysis for Observational Multilevel Studies
Qi Zhou; Joon Jin Song, Baylor University; Catherine J. McNeal, Baylor Scott & White Health; Laurel A. Copeland, Baylor Scott & White Health; Justin Philip Zachariah, Texas Children's Hospital/Baylor College of Medicine

Bayesian Causal Inference Analyses with Unmeasured Confounders
Negar Jaberansari, University of Cincinnati; Bin Huang, Cincinnati Children's Hospital Medical Center

Estimating the Causal Effect of Lowering Particulate Matter Levels Below the National Ambient Air Quality Standards on Health Outcomes
Maggie Makar, MIT; Joseph Antonelli, Harvard T.H. Chan School of Public Health; Qian Di, Harvard T.H. Chan School of Public Health; Joel Schwartz, Harvard T.H. Chan School of Public Health; David Cutler, Harvard; Francesca Dominici, Harvard T.H. Chan School of Public Health

Employing Machine Learning Approaches in Social Scientific Analyses
Arne Bethmann, Institute for Employment Research; Jonas Beste, Institute for Employment Research

Bayesian Method for Causal Inference in High-Dimensional Time Series with Applications to Sales Data
BO NING

A MAD-Bayes Algorithm for State-Space Inference and Clustering with Application to Querying Large Collections of ChIP-Seq Data Sets
Kailei Chen

Compartmental Model Diagrams as Causal Representations in Relation to DAGs
Sarah Ackley

A Statistical-Dynamical Approach to Probabilistic Decadal Climate Predictions
Francisco Beltran, Lawrence Livermore National Laboratory

GLiDeR: Doubly Robust Estimation of Causal Treatment Effects with the Group Lasso
Brandon Koch, University of Minnesota School of Public Health; David Vock, University of Minnesota School of Public Health; Julian Wolfson, University of Minnesota

Causal Inference with Partial Interference and Right-Censored Outcomes
Sujatro Chakladar; Michael Hudgens, The University of North Carolina at Chapel Hill

Implication of Missing Data in the Study of Association Between Immigrant Status and MRSA/MSSA Recurrence
Paola Martins, UFF; Nancy Piper Jenks, Clinical Directors Network; Caroline Jiang, Rockefeller University; Brianna D'Orazio, Clinical Directors Network; Jonathan N. Tobin, Clinical Directors Network; Joel Correa da Rosa, Rockefeller University

Phylodynamic Individual-Level Models: Strategies for Simulation and Inference
Justin Angevaare, University of Guelph; Zeny Feng, University of Guelph; Rob Deardon, University of Calgary

An Informative Prior Approach to a Bivariate Zero-Inflated Poisson Regression Model
Madeline Drevets, Baylor University

Bayesian Approach to Sample Size Determination for Multilevel Logistic Regression Models with Misclassified Outcomes
Tyler Nelson, Baylor University

An R Package Enabling Likelihood-Based Inference for Generalized Linear Mixed Models
Christina Knudson

High-Dimensional Inference for Partial Linear Models
Zhuqing Yu

Linear Double Autoregressive Time Series Model and Its Conditional Quantile Inference
Qianqian Zhu, The University of Hong Kong; Yao Zheng, The University of Hong Kong; Guodong Li, The University of Hong Kong

Matching Estimators for Causal Effects with Multiple Treatments
Anthony Scotina; Roee Gutman, Brown University

Generalizing Results from Randomized Trials to Target Population via Weighting Methods Using Propensity Score
Ziyue Chen, The Ohio State University; Eloise Kaizar, The Ohio State University

Model-Free Estimation of Task-Based Dynamic Functional Connectivity and Its Confidence Intervals
Maria Kudela, Indiana University; Mario Dzemidzic, Indiana University School of Medicine; Brandon G. Oberlin, Indiana University School of Medicine; Joaquín Goñi, Purdue University; David A. Kareken, Indiana University School of Medicine; Jaroslaw Harezlak, Indiana University Fairbanks School of Public Health

Topological Statistical Inference for Location Parameters via Frechet Functions
Ruite Guo, Florida State University

Assessment of Meals on Wheels Program Efficacy via Record Linkage with Medicare Claim Files
Mingyang Shan, Brown University; Roee Gutman, Brown University

Adjusting for Noncompliance in Randomized Clinical Trials When Noncompliance Must Be Estimated from a Biomarker
Jeffrey Boatman; David Vock, University of Minnesota School of Public Health; Joseph S. Koopmeiners, University of Minnesota

Variable Selection in Empirical Economics: Potential Pitfalls and Solutions
Christian Hansen, The University of Chicago Booth School of Business; Esther Duflo, MIT; Victor Chernozhukov, MIT; Maddie McKelway, MIT
8:35 AM

Combining Inference Across Diverse Information Sources via Confidence Distributions: The II-CC-FF Paradigm
Nils Lid Hjort, University of Oslo
8:35 AM

Lasso Adjustments of Treatment Effect Estimates in Randomized Experiments
Adam Bloniarz, University of California at Berkeley; Cun-Hui Zhang, Rutgers University; Hanzhong Liu, University of California at Berkeley; Jasjeet Sekhon, University of California at Berkeley; Bin Yu, University of California at Berkeley
8:35 AM

Generalizing Results from Randomized Trials to Target Population via Weighting Methods Using Propensity Score
Ziyue Chen, The Ohio State University; Eloise Kaizar, The Ohio State University
8:35 AM

Matching Estimators for Causal Effects with Multiple Treatments
Anthony Scotina; Roee Gutman, Brown University
8:45 AM

A General Theory of Hypothesis Tests and Confidence Regions for Sparse High-Dimensional Models
Yang Ning; Han Liu, Princeton
8:50 AM

Causal Inference in Network-Dependent Observational Data
Oleg Sofrygin, University of California at Berkeley; Mark van der Laan, University of California at Berkeley
8:55 AM

Bayesian Inference with Half a Prior
Keli Liu, Stanford University; Xiao-Li Meng, Harvard
9:00 AM

Network Degree Distribution Inference Under Sampling
Aleksandrina Goeva, Boston University; Richard Lehoucq, Sandia National Laboratories; Eric D. Kolaczyk, Boston University
9:05 AM

Pathway Lasso: Estimate and Select Sparse Mediation Pathways with High-Dimensional Mediators
Yi Zhao, Brown University; Xi Luo, Brown University
9:05 AM

Logical Inference of Efficacy in Subgroups and Their Combinations
Jason C. Hsu, Eli Lilly and Company/The Ohio State University
9:05 AM

Estimating Pathways and Health Benefits in Air Pollution Interventions
Roger Peng, The Johns Hopkins University
9:15 AM

Microbial Dynamical Systems INference Engine (MDSINE)
Georg Gerber, Harvard Medical School; Vanni Bucci, University of Massachusetts - Dartmouth; Belinda Tzen, Harvard Medical School
9:15 AM

High-Dimensional Gaussian Copula Regression: Adaptive Estimation and Statistical Inference
Linjun Zhang, University of Pennsylvania; Tony Cai, University of Pennsylvania
9:20 AM

Tuning-free heterogeneity pursuit in massive networks
Zhao Ren, University of Pittsburgh; Yongjian Kang, University of Southern California; Yingying Fan, University of Southern California; Jinchi Lv, University of Southern California
9:35 AM

Packing Inference of Correlation for an Arbitrarily Large Number of Variables
Kai Zhang, The University of North Carolina at Chapel Hill
9:50 AM

On Double Robustness in Estimating a Causal Effect When a Confounder Is Missing at Random
Katherine Evans, Harvard; Eric Tchetgen Tchetgen, Harvard
9:50 AM

Empirical likelihood inference for regression parameters when modeling hierarchical complex survey data
Melike Oguz Alper, Statistics Norway; Yves G. Berger, University of Southampton
9:50 AM

Assessment of Meals on Wheels Program Efficacy via Record Linkage with Medicare Claim Files
Mingyang Shan, Brown University; Roee Gutman, Brown University
10:00 AM

Network Meta-Analysis of Multiple Factors
Lifeng Lin, University of Minnesota; Haitao Chu, University of Minnesota
10:05 AM

Quantifying and Mitigating the Effect of Preferential Sampling on Phylodynamic Inference
Michael Karcher; Julia Palacios, Harvard; Trevor Bedford, Fred Hutchinson Cancer Research Center; Marc Adam Suchard, University of California at Los Angeles; Vladimir Minin, University of Washington
10:05 AM

Replication and the Manufacture of Scientific Inferences: A Formal Approach
Fernando Martel Garcia, Cambridge Social Science Decision Lab
10:35 AM

Inferences from Internet Panel Studies and Comparisons with Probability Samples
Ronaldo Iachan, ICF International; John Boyle, ICF; Richard Harding, ICF
10:35 AM

Selecting Optimal Subgroups for Treatment Using Many Covariates
Tyler J. VanderWeele, Harvard
10:35 AM

Topological Statistical Inference for Location Parameters via Frechet Functions
Ruite Guo, Florida State University
10:50 AM

An Empirical Method to Establish Usability of Nonprobability Surveys for Inference
Robert Tortora; Ronaldo Iachan, ICF International
10:50 AM

An R Package Enabling Likelihood-Based Inference for Generalized Linear Mixed Models
Christina Knudson
10:55 AM

Efficient inference for genetic association studies with multiple outcomes
Hélène Ruffieux, Ecole Polytechnique Fédérale de Lausanne; Anthony C. Davison, Ecole Polytechnique Fédérale de Lausanne; Irina Irincheeva, Nestlé Institute of Health Sciences SA; Jörg Hager, Nestlé Institute of Health Sciences SA
11:00 AM

Bayesian Latent Variable Modeling of Genetic Pleiotropy Data
Lei Sun, University of Toronto; Lizhen Xu, University of Toronto; Radu V. Craiu, University of Toronto; Andrew Paterson, Hospital for Sick Children
11:05 AM

Hypothesis Testing in High Dimensions with the Lasso
Ali Shojaie, University of Washington; Sen Zhao, University of Washington
11:05 AM

A Bayesian Nonparametric Analysis of Heterogeneous Data on Microbial Communities
Sergio Bacallado
11:15 AM

Generalized Fiducial Inference for Massive Heterogeneous Data
Jan Hannig, The University of North Carolina at Chapel Hill
11:25 AM

High-Dimensional Inference for Partial Linear Models
Zhuqing Yu
11:30 AM

Powerful Test Based on Multivariate Joint Effect for Genome-Wide Screening
Yaowu Liu, Purdue University; Jun Xie, Purdue University
11:35 AM

Establishing Consistency and Improving Uncertainty Estimates of Variational Inference Through M-Estimation
Theodore Westling, University of Washington; Tyler McCormick, University of Washington
11:35 AM

Analysis of Distributional Variation: A Multi-Resolution Scanning Approach with Applications to DNase-Seq Analysis
Li Ma, Duke University
11:35 AM

Fusion Learning from Complex Data Sets to Efficient Goal-Directed Individualized Inference
Regina Liu, Rutgers University; Minge Xie, Rutgers University
11:50 AM

Significance Testing Harms Replicability Only if Misused
Yoav Benjamini, Tel Aviv University
11:50 AM

A Kernel-Based Method for the Forensic Inference of the Source of Small Particles Characterized Using Compositional Data
Douglas Armstrong, San Diego State University; Cedric Neumann, San Diego State University; Christopher Saunders, MITRE/South Dakota State University; David Stoney, Stoney Forensic
11:55 AM

Bayesian Inversion of a Large Spatial Field Using Predictive Process
Anirban Mondal, Case Western Reserve University
12:05 PM

Objective Bayes, Confidence Distributions, and Fiducial Inference
BRAD EFRON, Stanford University
2:05 PM

Graphical Tools to Detect and Adjust for Invalid Instruments in Mendelian Randomization
Jack Bowden, University of Bristol
2:05 PM

Some Applications of Graph Mixtures for Social Network Analysis
Carter Tribley Butts, University of California at Irvine
2:05 PM

A Class of Semiparametric Tests of Treatment Effect Robust to Measurement Error of a Confounder
Caleb Miles, University of California at Berkeley; Eric Tchetgen Tchetgen, Harvard
2:05 PM

Remote Sensing Retrievals for Atmospheric Carbon Dioxide: Quantifying Uncertainty in the Presence of Nonlinearity and Nuisance Parameters
Jonathan Hobbs, Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory; Jenny Brynjarsdottir, Case Western Reserve University; Noel Cressie, University of Wollongong ; Dejian Fu, Jet Propulsion Laboratory; Robert Granat, Jet Propulsion Laboratory; Michael Gunson, Jet Propulsion Laboratory; Joaquim Teixeira, University of California at Los Angeles
2:05 PM

Robust Inference with Variational Bayes
Tamara Broderick, MIT
2:05 PM

Generalized Exponential Random Graph Models: Statistical Inference for Weighted Graphs
James D. Wilson, University of San Francisco; Shankar Bhamidi, The University of North Carolina at Chapel Hill
2:20 PM

Inference for Nonlinear Panel/Longitudinal Data
Carles Breto, University of Michigan; Edward L. Ionides, University of Michigan; Aaron A. King, University of Michigan
2:20 PM

Student Gains in Conceptual Understanding in Introductory Statistics with and Without a Curriculum Focused on Simulation-Based Inference
Beth Chance, Cal Poly
2:25 PM

Recent Developments in Residual Life Inference
Jong-Hyeon Jeong, University of Pittsburgh
2:25 PM

Moment-Matching Variational Inference
Matthew Hoffman, Adobe
2:25 PM

Confidence Distribution for Bridging Posterior Probabilistic Inferences
Minge Xie, Rutgers University
2:30 PM

On Two-Sample Tests in Functional Data Analysis with Dependent Errors
Jan Beran, University of Konstanz; Haiyan Liu, University of Konstanz; Klaus Telkmann, University of Konstanz
2:35 PM

Automatic Variational Inference in Stan
Alp Kucukelbir; Dustin Tran; Rajesh Ranganath, Princeton; Andrew Gelman, Columbia University; David Blei, Columbia University
2:45 PM

Bayesian Approaches to Modeling Complex Phenomena in Health Applications
Jennifer L. Hill, New York University; Vincent Dorie, New York University; Nicole Carnegie, University of Wisconsin - Milwaukee; Masataka Harada, National Graduate Institute for Policy Studies
2:45 PM

Instrumental Variable Estimation in Observational Studies
Miguel Hernan, Harvard
2:55 PM

Bayesian Predictive Inference for Consumption Data from Small Areas
Binod Manandhar, Worcester Polytechnic Institute
3:05 PM

Streaming Variational Inference for Normalized Random Measure Mixture Models
Nicholas Foti, University of Washington
3:05 PM

Fiducial Inference: Fisher's Big Blunder or Big Bang?
Keli Liu, Stanford University; Xiao-Li Meng, Harvard
3:20 PM

Empirical Likelihood Inference for the Odds Ratio of Two Survival Functions Under Right Censoring
Yichuan Zhao, Georgia State University; Meng Zhao, Home Depot; Ian McKeague, Columbia University
3:25 PM

Statistical Applications for Ethnic Disparities in Breast Cancer Survival Data
Hafiz Khan, Texas Tech University Health Sciences Center El Paso; Rachel N. Smith, Texas Tech University Health Sciences Center El Paso
3:35 PM

MCMC Algorithms for Bayesian Inference with Stochastic Differential Equations
Harish S. Bhat, University of California at Merced; R. W. M. A. Madushani, University of California at Merced; Shagun Rawat, University of California at Merced
3:35 PM

Wednesday, 08/03/2016

A Likelihood-Based Approach for Multivariate One-Sided Tests with Missing Data
Guohai Zhou, University of British Columbia; Lang Wu, University of British Columbia; Rollin Brant, University of British Columbia; J Mark Ansermino

Inference on Interval-Valued Data Regression by Measurement Error Models
Yaotong Cai, University of Georgia; Lynne Billard, University of Georgia

Bayesian Inference in Nonparanormal Graphical Models
Jami Jackson, North Carolina State University; Subhashis Ghosal, North Carolina State University

Statistical Inference of Covariate-Adjusted Response-Adaptive Randomized Clinical Trials
Wanying Zhao, The George Washington University

Small Sample Inference in Imbalanced Cluster Randomized Clinical Trials with Binary Outcomes
Dong Hyun Ahn, New York University; Judith D. Goldberg, New York University School of Medicine

Statistical Inference of Covariate-Adjusted Response-Adaptive Randomized Clinical Trials
Wanying Zhao, The George Washington University
8:35 AM

Using Propensity Scores to Infer Causal Effects on Heart Health from Chemotherapy Treatment of Breast Cancer Patients
John Craycroft, University of Louisville; Maiying Kong, University of Louisville; Carrie Lenneman, University of Louisville
8:35 AM

Statistical Inference Based on Judgment Post-Stratifed Samples in Finite Population
Omer Ozturk, The Ohio State University
8:50 AM

Small Sample Inference in Imbalanced Cluster Randomized Clinical Trials with Binary Outcomes
Dong Hyun Ahn, New York University; Judith D. Goldberg, New York University School of Medicine
8:50 AM

Propensity Scoring Methods for Ordinal Treatments
Thomas Greene, The University of Texas Health Science Center at Houston; Stacia DeSantis, The University of Texas Health Science Center at Houston; Michael D. Swartz, The University of Texas Health Science Center at Houston
8:50 AM

Robust Bayesian Inference via Coarsening
Jeffrey Miller, Duke University; David Dunson, Duke University
8:55 AM

Statistical Inference for Chromatin 3D Structure
Shili Lin, The Ohio State University
9:00 AM

Causal Inference with Unequal Sampling Weights: Investigating Policy Effect Using Population Health Surveys
Bo Lu, The Ohio State University; Robert Ashmead, U.S. Census Bureau
9:00 AM

Divide-and-Conquer and Statistical Inference
Michael I. Jordan, University of California at Berkeley
9:05 AM

Cluster-Adjusted Regression for Displaced Subject Data (CARDS): Marginal Inference Under Potentially Informative Temporal Cluster Size Profiles
Somnath Datta, University of Florida; JOE BIBLE, National Institutes of Health; JAMES BECK, The University of North Carolina at Chapel Hill
9:15 AM

Instrumental Variable with Competing Risk Model
Cheng Zheng, University of Wisconsin - Milwaukee; Ran Dai, The University of Chicago; Parameswaran Hari, Medical College of Wisconsin; Mei-Jie Zhang, Medical College of Wisconsin
9:20 AM

A New Class of Nonseparable Bayesian Hierarchical Spatial Modeling for Sparse Gaussian Processes
Bledar Konomi, University of Cincinnati
9:20 AM

Optimal Multilevel Matching Using Network Flows: An Application to a Summer Reading Intervention
Luke Keele, Penn State University; Samuel D. Pimentel, University of Pennsylvania
9:20 AM

Causal Inference Methods in Traffic Safety Research
Fan Li, Duke University
9:25 AM

Inference from Complex Survey-Embedded Field Experiments
Robert Ashmead, U.S. Census Bureau; Eric Slud, U.S. Census Bureau
9:35 AM

Don't Believe What You See: Prediction Paradoxes in Sports
Alexander D'Amour, Harvard
9:35 AM

Inference on Ratios of Correlated Variables with Applications to Dietary Quality Assessment
Aiyi Liu, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Xiaoyu Cai, The George Washington University; Zhaohai Li, The George Washington University
9:35 AM

A Gaussian-Probit Model for Bayesian Network with Mixed Variables
Qingyang Zhang, University of Arkansas; Ji-Ping Wang, Northwestern University
9:35 AM

Unified Inference for Sparse and Dense Longitudinal Data in Time-Varying Coefficient Models
Yixin Chen, Sanofi; Weixin Yao, University of California at Riverside
9:50 AM

Heterogeneity in Network Meta-Analysis from a Causal Inference Perspective
Mireille Elisa Schnitzer, Université de Montréal; Russell Steele, McGill University; Ian Shrier, McGill University
10:35 AM

A Hybrid M-Estimation Method with Application in Simultaneous Tuning and Calibration for Computer Experiments
Gang Han, Texas A&M University; Ao Yuan, Georgetown University; Qizhai Li, Chinese Academy of Sciences; Haiqun Lin, Yale School of Public Health; Thomas Santner, The Ohio State University
10:35 AM

A Bayesian Approach to Smoothed Lexis Diagram with Applications to Breast Cancer
I-Shou Chang, National Health Research Institutes
10:35 AM

Fitting Convex Sets to Data via Matrix Factorization
Venkat Chandrasekaran
10:35 AM

An Auxiliary-Variable Gibbs Sampler for Diffusions
Vinayak Rao, Purdue University; Yee Whye Teh, University of Oxford
10:35 AM

Proximity Score Matching: Using the Random Forest Proximity Matrix for Matching in Causal Inference
Hui Fen Tan, Cornell University; David Isaac Miller, Northwestern University; James Savage, Lendable
10:35 AM

Discovering Effect Modification in Matched Observational Studies with Multiple Controls
Kwonsang Lee, University of Pennsylvania; Dylan Small, University of Pennsylvania; Paul R. Rosenbaum, University of Pennsylvania
10:50 AM

Parameter Inference and Model Selection in Deterministic and Stochastic Dynamical Models
Jennifer Hoeting , Colorado State University; Libo Sun, Janssen R&D; Chihoon Lee, Stevens Institute of Technology
10:55 AM

Statistical Inference for Networks Using Computational Algebraic Geometry
Elizabeth Gross
10:55 AM

Leveraging Multiple Outcomes in Matched Observational Studies
Colin B. Fogarty, MIT; Dylan Small, University of Pennsylvania
11:05 AM

Modeling Material Stress Using Integrals of Gaussian Markov Random Fields
Peter Marcy, Los Alamos National Laboratory; Scott Vander Wiel, Los Alamos National Laboratory; Curtis Storlie, Mayo Clinic
11:05 AM

Gaussian Process Emulator-Based Inference for Spatial Models of Infectious Disease Systems
Rob Deardon, University of Calgary; Gyanendra Pokharel, University of Calgary
11:15 AM

Using Observed Outcomes to Design High-Dimensional Propensity Scores
Lo-Hua Yuan, Harvard; Luke Miratrix, Harvard University; Donald B. Rubin, Harvard
11:35 AM

Causal Mediation Analysis of Social Networks
Adam Chaim Sales, The University of Texas at Austin; Tracy Sweet, University of Maryland; Brian W. Junker, Carnegie Mellon University
11:50 AM

Semiparametric Estimation and Inference for Partial AUC of Biomarkers Subject to Limit of Detection
Lixuan Yin, George Mason University; Guoqing Diao, George Mason University; Aiyi Liu, Eunice Kennedy Shriver National Institute of Child Health and Human Development
11:50 AM

Efficient Semiparametric Inference Under Two-Phase Sampling, with Applications to Genetic Association Studies
Ran Tao, The University of North Carolina at Chapel Hill; Donglin Zeng, The University of North Carolina at Chapel Hill; Danyu Lin, The University of North Carolina at Chapel Hill
11:55 AM

Fully Bayesian Inference in Functional Principal Component Analysis for the Opioid Dependence Treatment Data
Jun Ye; Yehua Li, Iowa State University; Yongtao Guan, University of Miami
12:05 PM

Estimation and Inference of Treatment Effect Heterogeneity in Randomized Experiments
Max H. Farrell, The University of Chicago Booth School of Business
2:05 PM

Causal Regression Discontinuity and Its Application to a Biomedical Example
Marie-Abele Bind; Fan Li, Duke University; Farbizia Meali, University of Florence
2:05 PM

Batch Effects in Network Inference
Claire Ruberman
2:05 PM

Quantifying the Causal Effect of Speed Cameras on Road Traffic Accidents via an Approximate Bayesian Doubly Robust Estimator
Daniel Graham, Imperial College London; Haojie Li, Southeast University
2:20 PM

A Dirichlet Process Functional Approach to Heteroscedastic-Consistent Covariance Estimation and Sensitivity Analysis of Causal Effects
George Karabatsos, University of Illinois at Chicago
2:25 PM

Visual Inference for Networks
Heike Hofmann, Iowa State University; Samantha Tyner, Iowa State University; Mahbubul Majumder, University of Nebraska - Omaha; Haley Jeppson, Iowa State University
2:25 PM

Estimation and Inference of Heterogeneous Treatment Effects Using Random Forests
Susan Athey, Stanford University; Stefan Wager, Stanford University
2:30 PM

Post-Hoc Edge Testing for the Graphical Lasso
Maxwell Jacob Grazier G'Sell, Carnegie Mellon University; William Fithian, University of California at Berkeley
2:30 PM

Design, Identification, and Sensitivity Analysis for Patient Preference Trials
Teppei Yamamoto, MIT; Dean Knox, MIT; Berinsky Adam, MIT; Matthew Baum, Harvard
2:35 PM

Overlap Propensity Score Weighting to Balance Covariates
Kari Lock Morgan, Penn State University; Fan Li, Duke University; Alan M. Zaslavsky, Harvard Medical School
2:35 PM

A Bayesian Nonparametric Causal Inference Model for Comparative Effectiveness Research
Chenguang Wang, The Johns Hopkins University
2:45 PM

Adaptive Bayesian Inference in Nonlinear Regression
Ji-Yeon Yang, Kumoh National Institute
2:50 PM

A Regularization Scheme on Word Occurrence Rates That Improves Estimation and Interpretation of Topical Content
Edoardo M. Airoldi, Harvard
2:55 PM

Making Sense of Digital Experiments with Bayesian Nonparametrics
Matt Taddy, Chicago Booth
2:55 PM

Conditional Inference for the Kernel Association Tests
Kai Wang, University of Iowa
3:05 PM

Bayesian Semiparametric Latent Mediation Model
Chanmin Kim, Harvard; Michael Daniels, The University of Texas at Austin; Yisheng Li, MD Anderson Cancer Center
3:05 PM

Collaborative Targeted Learning for Large-Scale and High-Dimensional Data
Cheng Ju, University of California at Berkeley; Mark van der Laan, University of California at Berkeley; Susan Gruber, Harvard T.H. Chan School of Public Health; Jessica Franklin, Brigham and Women's Hospital; Richard Wyss, Brigham and Women's Hospital; Wesley Eddings, Brigham and Women's Hospital; Sebastian Schneeweiss, Brigham and Women's Hospital
3:20 PM

Batch Effects in Genomics Data
Florian Buettner; Oliver Stegle, EMBL-European Bioinformatics Institute
3:25 PM

Thursday, 08/04/2016

Personalized Treatment for Longitudinal Data Using Unspecified Random-Effects Model
Hyunkuen Cho, Western Michigan University; Peng Wang, University of Cincinnati; Annie Qu, University of Illinois at Urbana-Champaign
8:35 AM

Finding Common Support for Causal Inference Through Largest Connected Components
Sharif Mahmood, Kansas State University; Michael Higgins, Kansas State University
8:50 AM

Gaussian Likelihood Inference on Non-Gaussian Random Fields
Yuan Yan, King Abdullah University of Science and Technology; Marc Genton, KAUST
9:05 AM

Including Data-Analytical Stability in Cluster-Based Inference
Sanne Roels, Ghent University; Tom Loeys, Ghent University; Beatrijs Moerkerke, Ghent University
9:05 AM

Locally Adaptive Bayesian Nonparametric Inference for Phylodynamics
James R. Faulkner, University of Washington; Vladimir Minin, University of Washington
9:05 AM

Simplified Tools for Sample Size Determination for Correlation Coefficient Inference
Stephen W. Looney, Augusta University; Justine May, Augusta University; Jessica McKinney Ketchum, Craig Hospital
9:05 AM

Testing Statistical Significance of Canonical Correlation Coefficients
Yunjin Choi, Stanford University; Robert Tibshirani, Stanford University; Jonathan Taylor, Stanford University
9:05 AM

Interpretable High-Dimensional Inference via Score Maximization with an Application in Neuroimaging
Simon Vandekar, University of Pennsylvania; Philip Reiss, New York University; Russell Shinohara, University of Pennsylvania
9:20 AM

Estimating the Optimal Regime to Prolong Survival in Treatment of Prostate Cancer Recurrence Using Flexible Weighting Models
Jincheng Shen, Harvard T.H. Chan School of Public Health; Lu Wang, University of Michigan; Jeremy M. G. Taylor, University of Michigan
9:25 AM

Figures of Merit for Simultaneous Inference and Comparisons in Simulation Experiments
Noel Cressie, University of Wollongong ; Sandy Burden, University of Wollongong
9:35 AM

Bayesian Generalized ANOVA Modeling for Functional Data Using INLA
Yu Yue, Baruch College; David Bolin, Chalmers University of Technology; Havard Rue, Norwegian University of Science and Technology; Xiao-feng Wang, Cleveland Clinic Lerner Research Institute
9:50 AM

Simultaneous Model Selection and Inference in Small-Area and Other Complex Models
Snigdhansu Chatterjee, University of Minnesota - Twin Cities
10:35 AM

Adaptive Sequential Model Selection
William Fithian, University of California at Berkeley; Jonathan Taylor, Stanford University; Robert Tibshirani, Stanford University; Ryan Tibshirani, Carnegie Mellon University
10:35 AM

Inference of an Additive Transient Binding Model
Jason Bernstein
10:35 AM

A Randomization-Based Activity to Introduce ANOVA While Reinforcing Knowledge of Sampling Distributions
Kirsten Doehler, Elon University; Laura Taylor, Elon University
10:50 AM

Pearson's Chi-Square Test and Rank Correlation Inferences for Clustered Data
Joanna Shih, National Cancer Institute; Michael Fay, National Institute of Allergy and Infectious Diseases
10:50 AM

Stable Balancing Weights for Marginal Structural Models
Maria de los Angeles Resa Juarez, Columbia University; Jose Zubizarreta, Columbia University
10:50 AM

Measuring Bumps: Intervals for Effect Size of Selected Regions in Genomic Signal
Yuval Benjamini, Hebrew University ; Rafael A. Irizarry, Dana-Farber Cancer Institute; Jonathan Taylor, Stanford University
10:55 AM

Combinatorial Inference
Han Liu, Princeton
11:00 AM

Increasing the Power of the Mann-Whitney Test in Randomized Experiments Through Flexible Covariate Adjustment
Karel Vermeulen, Ghent University; Olivier Thas, Ghent University; Stijn Vansteelandt, Ghent University
11:05 AM

Constrained Inference for Double Cone Alternatives
Xuechan Li, Duke University; Janice McCarthy, Duke University; Zhiguo Li, Duke University; Andrew Allen, Duke University; Kouros Owzar, Duke University
11:05 AM

Selection-Adjusted Bayesian Inference in the Linear Model
Asaf Weinstein; Jonathan Taylor, Stanford University; Snigdha Panigrahi, Stanford University
11:15 AM

Post-Selection Inference for E-MS Algorithm
Gang Xu, University of Miami; J. Sunil Rao, University of Miami
11:20 AM

Confident Class Micromaps for Visual Analytic Inference
Daniel Carr, George Mason University; Anand N. Vidyashankar, George Mason University
11:20 AM

New Machine-Learning Approaches to Causal Inference
Cynthia Rudin, Duke University
11:25 AM

Debiasing Regularized Estimators with High-Dimensional Data
Cun-Hui Zhang, Rutgers University
11:25 AM

Large Sample Inference for a Win Ratio Analysis of a Composite Outcome
Ionut Bebu, The George Washington University; John M. Lachin, The George Washington University
11:35 AM

Sparse Clustering of High-Dimensional Gaussian Mixtures
Jing Ma, University of Pennsylvania; Tony Cai, University of Pennsylvania; Linjun Zhang, University of Pennsylvania
11:35 AM

Causal Inference in Observational Studies using data integration in large scales and creating strong instrumental variables
Azam Yazdani; Akram Yazdani, The University of Texas Health Science Center at Houston; Ahmad Samiei, Hasso-Plattner-Institut für Softwaresystemtechnik; Eric Boerwinkle, The University of Texas Health Science Center at Houston
11:35 AM

Semiparametric High-Dimensional Partial Linear Models: Estimation and Inference
Michael Levine, Purdue University; Lawrence D. Brown, University of Pennsylvania; Lie Wang, MIT
11:50 AM

Inference for Multi-Model Ensembles: An Application in Glaciology
Derek Bingham, Simon Fraser University; Ofir Harari, Simon Fraser University; Gwenn Flowers, Simon Fraser University
11:50 AM

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