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

Keyword Search

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

Keyword Search Criteria: inference returned 353 record(s)

Sunday, 07/29/2018

Generalized Statistical Inference for Astrophysical Discoveries
Sara Algeri, Imperial College London; David A van Dyk, Imperial College London; Jan Conrad, Oskar Klein Centre for Cosmoparticle Physics

Approximate Bayesian Computation for the Stellar Initial Mass Function
Jessi Cisewski-Kehe, Yale University; Chad Schafer, Carnegie Mellon University; Grant Weller, Savvysherpa; David Hogg, New York University

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

Deep Learning for Statistical Inference in Infectious Disease Systems
Rob Deardon, University of Calgary; Carolyn Augusta, University of Guelph; Graham Taylor, University of Guelph

An Expectation Conditional Maximization Approach for Gaussian Graphical Models
Zehang Li, University of Washington; Tyler McCormick, University of Washington

Inference of Introgressive Hybridization in Anopheles Mosquito Genomes
Jingxue(Grace) Feng, Simon Fraser University; Liangliang Wang, Simon Fraser University; Cedric Chauve, Simon Fraser University

Inference for Fine-Gray Competing Risks Model with High-Dimensional Covariates
Jue Hou, UCSD Biostatistics; Jelena Bradic, UC San Diego; Ronghui Xu, UC San Diego

Bootstrap and Asymptotic Inference with Multiway Clustering
Matthew Webb, Carleton University; James Gordon MacKinnon, Queen's University; Morten Ø Nielsen, Queen's University and CREATES

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

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

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

Spatially Informed Variable Selection Priors and Application to Neuroimaging Data
Marina Vannucci, Rice University
2:05 PM

Predictive Inference for Locally Stationary Time Series with an Application to Climate Data
Srinjoy Das, UCSD; Dimitris Politis, UCSD
2:05 PM

Finite Mixture-Of-Gamma Distributions: Estimation, Inference, and Model-Based Clustering
Derek S. Young, University of Kentucky; Xi Chen, University of Kentucky; Dilrukshi Hewage, University of Kentucky; Ricardo N. Poyanco, FONDAP Center for Genome Regulation
2:20 PM

Optimal Dose Selection Considering Both Toxicity and Activity Data; Plateau Detection for Molecularly Targeted Agents
Maria Athina Altzerinakou, Inserm; Xavier Paoletti, Gustave Roussy
2:20 PM

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

Regularization and Aliasing in the Estimation of Treatment Effect Moderation
Paul Richard Hahn, Arizona State University ; Carlos Carvalho, University of Texas; Jared S Murray, University of Texas at Austin
2:25 PM

Bayesian Inference for Phylogenetic Trees and Networks
Liangliang Wang, Simon Fraser University; Shijia Wang, Simon Fraser University; Alexandre Bouchard-Côté, University of British Columbia
2:45 PM

Semiparametric Theory for Causal Inference with Negative Controls
Xu Shi, Harvard University; Wang Miao, Peking University; Eric Tchetgen Tchetgen, The Wharton School at the University of Pennsylvania
2:45 PM

Significance Testing in Non-Sparse High-Dimensional Linear Models
Yinchu Zhu, University of Oregon; Jelena Bradic, UC San Diego
2:50 PM

Leveraging Surrogate Phenotypes to Improve Inference on a Partially Missing Target Phenotype
Zachary McCaw, Harvard School of Public Health; Xihong Lin, Harvard University
2:50 PM

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

Debiasing the Debiased Lasso with Bootstrap
Sai Li, Rutgers University
3:05 PM

Optimal Multiple Confidence Regions
Edsel Pena, University of South Carolina; Taeho Kim, University of South Carolina
3:05 PM

Bootstrap and Asymptotic Inference with Multiway Clustering
Matthew Webb, Carleton University; James Gordon MacKinnon, Queen's University; Morten Ø Nielsen, Queen's University and CREATES
3:05 PM

Inference for Fine-Gray Competing Risks Model with High-Dimensional Covariates
Jue Hou, UCSD Biostatistics; Jelena Bradic, UC San Diego; Ronghui Xu, UC San Diego
3:15 PM

Combining Confidence Distributions for Rare Event Meta-Analysis
Brinley Zabriskie, Utah State University; Chris Corcoran, Utah State University; Pralay Senchaudhuri, Cytel Software Corporation
3:20 PM

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

Network Regression and Inference
Peng Wang, University of Cincinnati; Xiaotong Shen, University of Minnesota
3:25 PM

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

Outlier Robust Inference Using Probabilistically Linked Data
Nicola Salvati, University of Pisa; Suojin Wang, Texas A&M University; Enrico Fabrizi, Catholic University of Sacro Cuore; Raymond Chambers, University of Wollongong
4:05 PM

Adjusting a Subject-Specific Timing of Event in Longitudinal Studies
Hyunkeun Cho, University of Iowa; Seonjin Kim, Miami University; Myunghee Lee, Weill Cornell Medical College
4:05 PM

De Novo Detection and Accurate Inference of Differentially Methylated Regions
Keegan Korthauer, Dana-Farber Cancer Institute; Sutirtha Chakraborty, Novartis; Yuval Benjamini, Hebrew University of Jerusalem; Rafael Irizarry, Harvard University
4:20 PM

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

Statistical Inference for Multivariate Stochastic Differential Equations via Data Imputation
Ge Liu, Ohio State University; Peter Craigmile, The Ohio State University; Radu Herbei, The Ohio State University
4:25 PM

A Bayesian Hierarchical Model for Analyzing Methylated RNA Immunoprecipitation Sequencing Data
Minzhe Zhang, University of Texas Southwestern Medical Center; Qiwei Li, University of Texas Southwestern Medical Center; Yang Xie, University of Texas Southwestern Medical Center
4:35 PM

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

Inference and Optimal Design for Longitudinal Cluster-Randomized Clinical Trials Given a Small Number of Clusters with Application to a Serious Mental Illness Intervention Study
CHAE RYON KANG, University of Pittsburgh; DI ZHANG, University of Pittsburgh
4:50 PM

A Bayesian Approach for Deduplication, Record Linkage, and Inference with Linked Data
brunero liseo, Sapienza Università di Roma; Andrea Tancredi, Sapienza Università di Roma; Rebecca C. Steorts, Duke University
4:55 PM

Practical Bayesian Modeling and Subgroup Inference in Alzheimer's Drug Development
Brad Carlin, University of Minnesota; Patrick Schnell, Ohio State University; Mark Fiecas, University of Minnesota; Peter Müller, University of Texas Austin; Qi Tang, Sanofi; Walter Offen, AbbVie
5:05 PM

Statistical Significance: Time to Look Forward
Philip Sedgwick, St. George's, University of London
5:05 PM

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

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

Incorporating Host Genomics Data and Microbial Network Inference
Richard Bonneau, NYU Center for Data Science & Simons Foundation
5:25 PM

Monday, 07/30/2018

Bayesian Phylogenetic Inference via Particle Gibbs Sampler with Ancestor Sampling
Shijia Wang, Simon Fraser University; Liangliang Wang, Simon Fraser University

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

EAinference: An R Package for Simulation-Based Inference via Estimator Augmentation
Seunghyun Min, UCLA; Qing Zhou, UCLA

Parametric Likelihood Inference for Interval Censored and Left Truncated Competing Risks Data
Jung In Kim, NIEHS; Jason P Fine, University of North Carolina at Chapel Hill; Margaret Gourlay, UNC-CH; Byeongyeob Choi, University of Texas Health Science Center at San Antonio

Inferential Techniques for Persistent Homology
Richard Ross, University of Georgia; Nicole Lazar, University of Georgia; Lynne Seymour, University of Georgia; Thomas Mote, University of Georgia

Honest Confidence Sets for High-Dimensional Linear Regression by Projection and Shrinkage
Kun Zhou, University of California, Los Angeles; Qing Zhou, UCLA

A Joint Modeling Approach for Directed Acyclic Network Data
Yan Zhou, Merck &Co., Inc

Bayesian Inference in High-Dimensional Linear Regression Using an Empirical Correlation-Adaptive Prior
Chang Liu, North Carolina State University; Yue Yang, North Carolina State University; Howard D Bondell, University of Melbourne; Ryan Martin, North Carolina State University

Nonparametric Testing for Multiple Survival Functions with Non-Inferiority Margins
Hsin-wen Chang, Academia Sinica; Ian W. McKeague, Columbia University

Applications of Directional Inference
Andrew McCormack; Nancy Reid, University of Toronto; Sri-Amirthan Theivendran, University of Toronto; Nicola Sartori, University of Padua

Type S Error Control in Hypothesis Testing
Andrew Neath, SIU Edwardsville

A Bayesian Nonparametric Approach to Estimate Causal Effects of Mediation in the Presence of Nonignorable Missingness
Dandan Xu, US Food and Drug Administration; Michael Daniels, University of Florida

Approximate Inference for Large Non-Gaussian Spatial Data
Daniel Zilber, Texas A&M University; Matthias Katzfuss, Texas A&M University

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

Using Validation Data to Adjust the Inverse Probability Weighting Treatment Effect Estimator for Misclassified Treatment
Danielle Braun, Harvard T. H. Chan School of Public Health; Corwin Zigler, Harvard T.H. Chan School of Public Health; Francesca Dominici, Harvard T. H. Chan School of Public Health; Malka Gorfine, Tel Aviv University

Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modeling
Mark Dawkins

Evaluating Proxy Influence and Reconstruction Skill in Data Assimilation Based Climate Field Reconstructions Using Extremal Depth
Trevor Harris, University of Illinois at Urbana-Champaign, Statistics; Bo Li, University of Illinois at Urbana-Champaign; Nathan Steiger, Columbia University, Lamont-Doherty Earth Observatory; Jason Smerdon, Columbia University, Lamont-Doherty Earth Observatory; Justin Jacobs, Sandia National Laboratories

Estimating Average Causal Treatment Effects Utilizing Fractional Imputation When Confounders Are Subject to Missingness
Nathaniel Corder, North Carolina State University; Shu Yang, North Carolina State University

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

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

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

Constrained Bayesian Inference Through Posterior Projections
Sayan Patra, Duke University; David B Dunson, Duke University

A Bootstrap-Based Test for Distributional Symmetry in SO(3)
Ulrike Genschel, Iowa State University; Daniel Nordman, Iowa State University; Stephen Vardeman, Iowa State University; Yalin Rao, Iowa State University

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

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

Statistical Inference on Remaining Useful Life in a Two-Phase Degradation Model Under Gamma Process
Hon Keung Tony Ng, Southern Methodist University; Man Ho Ling, The Education University of Hong Kong; Kwok Leung Tsui, City University of Hong Kong
8:35 AM

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

Bayesian Estimation of Analyte Concentrations using Sensor Responses and Design Optimization of a Sensor System
David Han, University of Texas At San Antonio
8:50 AM

Robust Pulsar Timing Inference with Non-Gaussian Distributions
Hyungsuk Tak, SAMSI; Justin A. Ellis, West Virginia University; Sujit Ghosh, North Carolina State Univ.
8:55 AM

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

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

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

Statistical Inference of Two Classifiers by Partial Area Under the ROC Curve with Empirical Likelihood
Xue Ding, University of Kentucky; Mai Zhou, University of Kentucky
9:05 AM

Assessing the Uncertainty Due to Chemicals Below the Detection Limit in Chemical Mixture Estimation
Paul Hargarten, VCU; David C. Wheeler, Virginia Commonwealth University
9:05 AM

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

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

Efficient Two-Stage Designs and Proper Inference for Animal Studies
Chunyan Cai, UT Health Science Center at Houston; Jin Piao, University of Southern California; Jing Ning, The University of Texas M.D. Anderson Cancer Center; Xuelin Huang, University of Texas MD Anderson Cancer Center
9:05 AM

Approximate Inference for Large Non-Gaussian Spatial Data
Daniel Zilber, Texas A&M University; Matthias Katzfuss, Texas A&M University
9:10 AM

Investigating the Cosmic Web with Topological Data Analysis
Jessi Cisewski-Kehe, Yale University
9:15 AM

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

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

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

Multilevel Monte Carlo for Inference
Kody Law, Oak Ridge National Laboratory
9:35 AM

Type S Error Control in Hypothesis Testing
Andrew Neath, SIU Edwardsville
9:45 AM

Robust Inference Based on Linear Mixed Models with Application to Gene Detections
Youngseok Song, Colorado State University; Wen Zhou, Colorado State University; Kim Hoke, Colorado State University; Wenxin Zhou, University of California, San Diego
9:50 AM

Constrained Bayesian Inference Through Posterior Projections
Sayan Patra, Duke University; David B Dunson, Duke University
9:50 AM

Resampling-Based Control of the False Discovery Rate Incorporating Shrinkage Estimation for the Covariance Matrix
Josephine Sarpong Akosa, Oklahoma State University; Melinda McCann, Oklahoma State University
10:05 AM

Statistical Inference for Neuroimaging Genetics
Long Feng, Yale University; Xuan Bi, Yale University; Heping Zhang, Yale University School of Public Health
10:35 AM

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

Inference on Treatment Effect Modification by Marker Response in a Baseline Surrogate Measure Three-Phase Sampling Design
Michal Juraska, Fred Hutchinson Cancer Research Center; Ying Huang, Fred Hutchinson Cancer Research Center; Peter Gilbert, Fred Hutchinson Cancer Research Center
10:50 AM

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

Bayesian Framework for Embedded Model Error Representation and Quantification
Khachik Sargsyan, Sandia National Labs/California; Xun Huan, Sandia National Labs/California; Habib Najm, Sandia National Labs/California
10:55 AM

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

Neuronized Priors for A Unified Sparsity Inference
Ismael Castillo, Universite Pierre et Marie Curie - Paris 6; Minsuk Shin, Harvard University
11:00 AM

BRISC: Bootstrap for Rapid Inference on Spatial Covariances
Arkajyoti Saha, Johns Hopkins Bloomberg School of Public Health; Abhi Datta, Johns Hopkins Bloomberg School of Public Health
11:05 AM

Sound Statistical Inference from Big Data in the Insurance Industry
Christopher Haydon Holloman, ICC
11:15 AM

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

Model-Based Clustering of Nonparametric Weighted Networks with Application to Water Pollution Analysis
Amal Agarwal, Pennsylvania State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
11:20 AM

Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modeling
Mark Dawkins
11:20 AM

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

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

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

Beyond Random-Walk MCMC for Bayesian Phylogenetics
Frederick Matsen, Fred Hutchinson Cancer Research Center
11:35 AM

Edward: a Library for Probabilistic Machine Learning and Statistics
Dustin Tran, Columbia University; David Blei, Columbia University
11:35 AM

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

Hierarchical Mixture Modeling for Multiple Testing and Effect Size Estimation in Voxel-Level Inference of Neuroimaging Data
Ryo Emoto, Nagoya University Graduate School of Medicine; Atsushi Kawaguchi, Saga University; Hisako Yoshida, Saga University; Shigeyuki Matsui, Nagoya University
11:35 AM

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

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

Phylogenomic Inference in the Presence of Gene Flow Using Coalescent Site Pattern Probabilities
Laura Kubatko, Ohio State University; Colby Long, Mathematical Biosciences Institute, The Ohio State University
11:55 AM

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

A Factor Augmented Vector Autoregressive Model Under High-Dimensional Scaling
George Michailidis, University of Florida; Jiahe Lin, University of Michigan
2:05 PM

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

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

Nonparametric Generalized Fiducial Inference for Survival Functions Under Censoring
Yifan Cui, University of North Carolina at Chapel Hill; Jan Hannig, University of North Carolina
2:05 PM

Bayesian Network Regularized Regression for Modeling Urban Crime Occurrences
Elizabeth Mary Upton, Boston University; Luis Carvalho, Boston University
2:20 PM

Exact Inference in Functional Regression: Estimating Hydrological Controls on Ecosystem Dynamics in an Antarctic Lake
Radu Herbei, The Ohio State University; Corey J. Smith, The Ohio State University
2:25 PM

Nonparametric Variable Importance Assessment Using Machine Learning Techniques
Brian Williamson, University of Washington; Peter Gilbert, Fred Hutchinson Cancer Research Center; Noah Simon, University of Washington; Marco Carone, University of Washington
2:25 PM

Valid Inference Corrected for Outlier Removal
Shuxiao Chen, Cornell Univ; Jacob Bien, University of Southern California
2:25 PM

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

The Promise and Peril of Pediatric Extrapolation
Robert Nelson, Johnson & Johnson
2:25 PM

Statistical Inference for High-Dimensional Time Series
Ruey S Tsay, University of Chicago, Booth School of Business
2:30 PM

Multiple Imputation for Adaptive Survey Design
Trivellore Raghunathan, University of Michigan
2:30 PM

Characterising for Sensitivity Analyzes the Participant Attrition in a Childhood Cohort with Large Initial Drop-Out
Petr Otahal, Menzies Institute for Medical Research University of Tasmania; Leigh Blizzard, Menzies Institute of Medical Research, University of Tasmania; David W Hosmer, University of Massachusetts; Jim Stankovich, School of Medicine, University of Tasmania; Alison Venn, Menzies Institute for Medical Research University of Tasmania
2:35 PM

Practical Bayesian Inference for Record Linkage
Brendan McVeigh, Carnegie Mellon University; Jared S Murray, University of Texas at Austin
2:45 PM

A Robust Multiple Imputation Approach to Causal Inference with Confounding by Indication
Roderick J Little, University of Michigan; Tingting Zhou, University of Michigan; Michael Elliott, University of Michigan
2:55 PM

Aligning Inference with the Tidyverse: Development of the Infer Package
Andrew Paul Bray, Reed College
3:05 PM

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

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

Bayesian Model-Assisted Estimation for Functional Data in Survey Sampling
Luis Fernando Campos, Harvard University
3:25 PM

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

CiTools: Quantifying Uncertainty for Statistical Models in R
Matthew Avery
3:25 PM

Cross-Validation for Dependent Multiple Testing
Josh Price, University of Arkansas; Jyotishka Datta, University of Arkansas
3:35 PM

Tuesday, 07/31/2018

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

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

Renewable Estimation and Incremental Inference in Generalized Linear Models with Streaming Data Sets
Lan Luo; Peter X.-K. Song, University of Michigan

An Improved Inference Method for Multivariate Meta-Analysis and Meta-Regression
Hisashi Noma, The Institute of Statistical Mathematics

Adaptive Design: Challenges in Practice
Michael Yang, NORC

A Bayesian Model for Repeated Measures Count Data with Multiple Inflated Values
Benjamin Rogers, UCLA

Estimation and Inference for Cluster-Randomized Test-Negative Design Trials
Suzanne M. Dufault, University of California, Berkeley; Nicholas P. Jewell, University of California, Berkeley

A Novel Approach of Using Prior Elicitation Information to Direct Design of a Phase 2 POC Study
Geng Chen, GlaxoSmithKline; Jonathan Haddad, Glaxosmithkline

The Problem of Analytic Error in Secondary Analysis of Survey Data: What We Know, and What We Need to Do About It
Brady T. West, University of Michigan; Joe Sakshaug, University of Manchester

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

Invalid Statistical Inference Due to Social Network Dependence
Youjin Lee, Johns Hopkins School of Public Health; Elizabeth Ogburn, Johns Hopkins School of Public Health

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

Combining Probability and Nonprobability Samples for Population Inference
Jill A Dever, RTI International

Estimation and Inference of Domain Means Subject to Shape Constraints
Cristian Oliva, Colorado State University; Mary C. Meyer, Colorado State University; Jean D. Opsomer, Colorado State University

Sampling from Twitter: Can a Probability Sample Be Drawn to Target Hard to Reach Populations?
Marcus Berzofsky, RTI International; Tasseli McKay, RTI International; Patrick Hsieh, RTI International; Amanda Smith, RTI Internatinal; Natasha Latzman, RTI International

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

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

Differentiable Approximations of Hidden Markov Models for Variational Bayesian Inference
Lun Yin, Duke Institute for Brain Sciences; John Pearson, Duke University

How to Effectively Communicate Misunderstood Statistical Terms
Hoiyi Ng, Amazon; Paavni Rattan, Amazon

Automated Bayesian Inference for Large-Scale Datastreams
Trevor Campbell, Massachusetts Institute of Technology; Tamara Broderick, Massachusetts Institute of Technology
8:35 AM

Bayesian Inference of Latent Gaussian Graphical Models for Mixed Data
Zehang Li, University of Washington; Tyler McCormick, University of Washington; Samuel Clark, The Ohio State University
8:35 AM

Scrutiny of Inference on Generalized Linear Models with High-Dimensional Covariates
Lu Xia, University of Michigan; Bin Nan, University of California, Irvine; Yi Li, University of Michigan
8:35 AM

M-Based Simultaneous Inference for Functional Data
Guanqun Cao, Auburn University; Nedret Billor, Auburn University; Italo Costa Lima, auburn university
8:50 AM

Spatio-Temporally Explicit Model Averaging for Forecasting of Alaskan Groundfish Catch
Hannah Correia, Auburn University
8:50 AM

Genetic Association Analysis of Copy Number Variation via a Bayesian Procedure in Whole Genome Sequencing
Yu-Chung Wei, Feng Chia University, TAIWAN
8:50 AM

Cluster-Level Inference Under Element Sampling
Danhyang Lee, Iowa State University; Jae-kwang Kim, Iowa State University; Chris Skinner, London School of Economics and Political Science
8:50 AM

The Myth of Making Inference for Overall Treatment Efficacy with Data from Multiple Studies via Meta-Analysis
Brian Claggett, Harvard Medical School
8:55 AM

Simulation-Based Inference in a Large, Online Intro Course: Meaningful Assessment with Minimal Grading
Erin Blankenship, University of Nebraska
8:55 AM

Bayesian Inference for Conditional Copulas Using Gaussian Process Single Index Models
Radu V Craiu, University of Toronto; Evgeny Levi, University of Toronto
9:00 AM

Invalid Statistical Inference Due to Social Network Dependence
Youjin Lee, Johns Hopkins School of Public Health; Elizabeth Ogburn, Johns Hopkins School of Public Health
9:05 AM

Combining Probability and Nonprobability Samples for Population Inference
Jill A Dever, RTI International
9:05 AM

A New Distribution-Free Method for Constructing Confidence Intervals for Quantiles
Chaitra Nagaraja, Fordham University; Haikady Nagaraja, Ohio State University
9:20 AM

Projection-Based Inference for High-Dimensional Linear Models
Sangyoon Yi, Texas A&M Univ; Xianyang Zhang, Texas A&M University
9:20 AM

Exact Spike Train Inference from Calcium Imaging Data via L0 Optimization
Sean Jewell, University of Washington; Daniela Witten, University of Washington
9:25 AM

Trend Tests for Microbiome Data
Abhishek Kaul, WSU; Shyamal Peddada, Univeristy of Pittsburgh; Siddhartha Mandal, Public Health Foundation of India; Ori Davidov , Haifa Univeristy
9:35 AM

Bayesian Inference in Nonparanormal Graphical Models
Jami Mulgrave; Subhashis Ghosal, North Carolina State University
9:35 AM

Results from a Multi-Institution Study of the Progression and Retention of Student Learning Using Simulation-Based Inference
Nathan Tintle, Dordt College
9:35 AM

Semiparametric Inference for Copulas of Mixed Data
Bruno Remillard, HEC Montreal; Christian Genest, McGill University; Johanna G. Neslehova, McGill University
9:50 AM

Extending Simulation-Based Inference to a Conceptual Second Course in Statistics: Finding Meaning in a Multivariate World
Karen McGaughey, Cal Poly State University
9:55 AM

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

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

Inference on Average Treatment Effect with Repeated Data Splitting in High Dimensions
Jingshen Wang, University of Michigan; Xuming He, University of Michigan; Gongjun Xu, University of Michigan
10:35 AM

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

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

Differentiable Approximations of Hidden Markov Models for Variational Bayesian Inference
Lun Yin, Duke Institute for Brain Sciences; John Pearson, Duke University
10:45 AM

Adjusted Empirical Likelihood Based Inference for ROC Curves
Haiyan Su, Montclair State University
10:50 AM

How to Effectively Communicate Misunderstood Statistical Terms
Hoiyi Ng, Amazon; Paavni Rattan, Amazon
10:50 AM

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

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

Penalized Versus Segmentation Methods in Changepoint Problems
Ryan Tibshirani, Carnegie Mellon University; Sangwon Hyun, Carnegie Mellon University; Kevin Lin, Carnegie Mellon University; Max G'Sell, Carnegie Mellon University
11:00 AM

Highlights from Bayesian Analysis
Christopher C Drovandi, Queensland University of Technology; Kerrie Mengersen, Queensland University of Technology; Michael Evans, University of Toronto; David J Nott, National University of Singapore
11:00 AM

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

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

Variational Hamiltonian Monte Carlo via Score Matching
Cheng Zhang, Fred Hutchinson Cancer Research Center
11:25 AM

Statistical Inference for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent
Weijie Su, University of Pennsylvania; Yuancheng Zhu, University of Pennsylvania
11:35 AM

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

Bayesian Analysis of Multinomial Counts from Small Areas and Sub-Areas
Balgobin Nandram, Worcester Polytechnic Institute
11:35 AM

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

Conditional Quantile Inference with Zero-Inflated Outcomes
Wodan Ling, Columbia University; Ying Wei, Columbia University; Bin Cheng, Columbia University; Ken Cheung, Columbia University
11:35 AM

The Problem of Analytic Error in Secondary Analysis of Survey Data: What We Know, and What We Need to Do About It
Brady T. West, University of Michigan; Joe Sakshaug, University of Manchester
11:40 AM

Bayesian Inference for the Relationship Between Two Categorical Variables with Covariates for Clustered Data
Dilli Bhatta, University of South Carolina Upstate
11:55 AM

AAA: Triple-Adaptive Bayesian Designs for the Identification of Optimal Dose Combinations in Dual-Agent Dose-Finding Trials
Jiaying Lyu, University of Chicago; Fudan University; Yuan Ji, NorthShore Univ. HealthSystem / The University of Chicago
11:55 AM

Nonparametric Inference on L\'Evy Measures of L\'Evy-Driven Ornstein-Uhlenbeck Processes
Daisuke Kurisu
12:05 PM

Maximum Likelihood Estimation of First-Passage Structural Credit Risk Models Correcting for the Survivorship Bias
Mathieu Boudreault, Université du Québec à Montréal; Diego Amaya, Wilfrid Laurier University; Don L. McLeish, University of Waterloo
2:05 PM

A Statistical View on Optimal Transport: Inference, Algorithms, Applications
Axel Munk, University of Goettingen; Joern Schrieber, Department for Mathematics and Computer Science; Max Sommerfeld, Department for Mathematics and Computer Science; Carla Tameling, Department for Mathematics and Computer Science
2:05 PM

Inference in Three Hours, and More Time for the Good Stuff
Allen Downey, Olin College of Engineering
2:05 PM

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

Copula Information Criterion for Two-Stage Maximum Likelihood
Vinnie Ko, University of Oslo; Nils Lid Hjort, University of Oslo
2:05 PM

Inference of Transcription Factor Binding Sites in New Cell Types from Open Chromatin and Gene Expression Data
Michael M. Hoffman, Princess Margaret Cancer Centre/University of Toronto; Mehran Karimzadeh, University of Toronto
2:05 PM

Modeling Changes in the Age Distribution of Opioid Mortality
Patrick E Brown, University of Toronto; Ye Lennon Li, Public Health Ontario
2:20 PM

Finite Sample Change Point Inference and Identification for Hig-Dimensional Mean Vectors
Mengjia Yu, University of Illinois at Urbana-Champaign; Xiaohui Chen, University of Illinois at Urbana-Champaign
2:20 PM

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

Bayesian Inference of Spreading Processes on Networks
Antonietta Mira, Università della Svizzera italiana; Ritabrata Dutta, Università della Svizzera italiana; Jukka-Pekka Onnela, Harvard T. H. Chan School of Public Health
2:25 PM

Inference on the Treatment Effect in Non-Randomized Pretest-Posttest Studies with Missing Data: An Empirical Likelihood Approach
Shixiao Zhang, University of Waterloo; Peisong Han, University of Michigan; Changbao Wu, University of Waterloo
2:35 PM

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

Extreme Wind Speed Forecasting Using INLA
Daniela Castro, King Abdullah University of Science and Technology; Raphaël Huser, KAUST
2:35 PM

Multivariate Thinking and the Introductory Statistics Course: Preparing Students to Make Sense of a World Full of Observational Data
Nicholas J. Horton, Amherst College; Sarah C Anoke, Harvard TH Chan School of Public Health; Brendan Seto, Amherst College
2:45 PM

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

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

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

Bayesian Inference for Multistate Step-and-Turn Animal Movement in Continuous Time
Alison Parton, University of Sheffield; Paul G Blackwell, University of Sheffield
2:55 PM

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

A Comparison of Bayesian and Monte Carlo Sensitivity Analysis for Unmeasured Confounding
Lawrence McCandless, Simon Fraser University; Paul Gustafson, University of British Columbia
2:55 PM

Bayesian Spatial Process Models for High-Dimensional Finite Population Sampling
Sudipto Banerjee, UCLA School of Public Health; Alec Goldstein-Chan, University of California Los Angeles
2:55 PM

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

Complexity Results for MCMC Derived from Quantitative Bounds
Jun Yang, University of Toronto; Jeffrey S Rosenthal, University of Toronto
3:05 PM

Spatial Semiparametric Spectral Density Estimation for Multivariate Extremes
Mauricio Nascimento, Pennsylvania State University; Benjamin Shaby, Penn State University
3:05 PM

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

Inference for Youden's Index with Varying Prevalence
Christine Schubert Kabban, Air Force Institute of Technology; Katherine A Batterton, Air Force Institute of Technology; Richard Warr, Brigham Young University
3:35 PM

Statistical Identification of Climate Hotspots
Joshua French, University of Colorado Denver
3:35 PM

Post-Selection Inference for Changepoint Problems
Sangwon Hyun, Carnegie Mellon University; Kevin Lin, Carnegie Mellon University; Max G'Sell, Carnegie Mellon University; Ryan Tibshirani, Carnegie Mellon University
3:35 PM

Wednesday, 08/01/2018

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

Inferences in High-Dimensional Misspecified Mixed Model Analysis for GWAS
Cecilia Dao, Yale Univ; Jiming Jiang, University of California, Davis; Debashis Paul, UC Davis; Hongyu Zhao, Yale

Probabilistic Inference of Clonal Gene Expression Through Integration of RNA and DNA-Seq at Single-Cell Resolution
Kieran Campbell, University of British Columbia; Sohrab P Shah, BC Cancer Agency; Alexandre Bouchard-Côté, University of British Columbia

Using Twin Study Data to Identify Causal Effects Under Latent Confounding
Yige Li, Harvard School of Public Health; Zhichao Jiang, Princeton University; Zhi Geng, Peking University

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

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

Identifying and Clustering Stable and Dynamic CpG Sites via Bayesian Analysis
Luhang Han, University of Memphis; Hongmei Zhang, University of Memphis; Ebenezer Olusegun George, University of Memphis; Wilfried Karmaus, University of Memphis; Hasan Arshad , University of Southampton; John Holloway, University of Southampton

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

A Novel Bayesian PK/PD Model for Synergy: Challenges and Opportunities for Sequential Knowledge Integration
Fabiola La Gamba; Tom Jacobs, Janssen R&D; Helena Geys, Janssen R&D; Christel Faes, Hasselt University

Gaussian Variational Estimation for Multidimensional Item Response Theory
April Eun Cho, University of Michigan; Gongjun Xu, University of Michigan

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

Bayesian High-Dimensional Multi-Outcome Regression with Tree-Structured Shrinkage
Emma Grace Thomas, Harvard T.H. Chan School of Public Health; Francesca Dominici, Harvard T. H. Chan School of Public Health; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Lorenzo Trippa, Harvard

A Variational Bayes Approach to Clustered Latent Preference Models for Directed Network Data
Jaron Lee, Australian National University

Small Data and N-of-1 Trials: Developing Personalized Biostatistics for Personalized Medicine and Individualized Health Care Delivery
Christopher Schmid, Brown University; Deborah Estrin , Cornell Tech; Ying Kuen Ken Cheung, Columbia University; Mark Drangsholt, University of Washington; Richard L. Kravitz, University of California Davis; Xiao-Li Meng, Harvard University
8:35 AM

Statistical Inference for Big Data via Optimal Subsampling
HaiYing Wang, University of Connecticut
8:35 AM

Modeling Covariance Structure for Longitudinal Data
Annie Qu, University of Illinois at Urbana-Champaign
8:35 AM

Omnibus Embeddings for Mutliple Graph Inference
Avanti Athreya, Johns Hopkins University; Keith Levin, University of Michigan; Minh Tang, Johns Hopkins University; Carey E Priebe, Johns Hopkins University; Vince Lyzinski, University of Massachusetts Amherst
8:35 AM

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

Multiplicity-Controlled Benefiting Subgroup Identification via Credible Subgroups
Patrick Schnell, Ohio State University; Qi Tang, Sanofi; Peter Müller, University of Texas Austin; Brad Carlin, University of Minnesota
8:35 AM

Approximate Bayesian Inference for Big Spatial Data Using Non-Stationary Spectral Simulation
Hou-Cheng Yang
8:35 AM

Convergence Complexity Analysis of Albert and Chib's Algorithm
Qian Qin, University of Florida; James P. Hobert, University of Florida
8:35 AM

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

Exact Spike Train Inference via $\Ell_0$ Optimization
Daniela Witten, University of Washington; Sean Jewell, University of Washington
8:55 AM

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

How Clustered Standard Errors Are Changing Applied Econometrics
James Gordon MacKinnon, Queen's University
9:00 AM

Graph Matching and Subsequent Inference in Errorfully Observed Network Data
Vince Lyzinski, University of Massachusetts Amherst
9:00 AM

A Unified Framework to Perform Inference for Pleiotropy, Mediation, and Replication in Genetic Association Studies
Ryan Sun, Harvard University; Xihong Lin, Harvard University
9:05 AM

Finite Alphabet Blind Separation
Merle Behr, University of Goettingen; Axel Munk, University of Goettingen; Chris Holmes, University of Oxford
9:15 AM

Distribution-Free Inference Methods for Threshold Regression
Mei-Ling Ting Lee, University of Maryland; George A Whitmore, McGill University
9:15 AM

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

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

Longitudinal Dynamic Functional Regression: Modeling and Inference
Md Islam, North Carolina State University; Ana-Maria Staicu, NC State University; Eric van Heugten, North Carolina State University
9:25 AM

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

A Bayesian Hierarchical Change Point Model with Parameter Constraints
Hong Li, Medical University of South Carolina; Brian Neelon, Medical University of South Carolina
9:35 AM

EXTENDED SENSITIVITY ANALYSIS for HETEROGENEOUS UNMEASURED CONFOUNDING with an APPLICATION to SIBLING STUDIES of RETURNS to EDUCATION
Raiden Hasegawa, The Wharton School, University of Pennsylvania; Colin Fogarty, Massachusetts Institute of Technology
9:35 AM

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

Black Box Variational Inference
Rajesh Ranganath, NYU Courant Institute of Mathematical Science
9:35 AM

Bayesian Inference for Geometrically Anisotropic Spatial Random Fields on Regular Lattice
Fan Dai; Somak Dutta, Iowa State University
9:35 AM

A Variational Bayes Approach to Clustered Latent Preference Models for Directed Network Data
Jaron Lee, Australian National University
9:40 AM

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

Gaussian Variational Estimation for Multidimensional Item Response Theory
April Eun Cho, University of Michigan; Gongjun Xu, University of Michigan
9:55 AM

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

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

Polynomial Approximate Sufficient Statistics for Scalable Bayesian Inference
Tamara Broderick, Massachusetts Institute of Technology
10:35 AM

Calibrating Big Data for Population Inference: Applying Quasi-Randomization Approach to Naturalistic Driving Data Using Bayesian Additive Regression Trees
Ali Rafei, University of Michigan; Michael Elliott, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute
10:35 AM

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

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

Bayesian and Influence Function Based Empirical Likelihoods for Inference of Sensitivity in Diagnostic Tests
Yan Hai, Georgia State University; Gengsheng Qin, Georgia State University; Xiaoyi Min, Georgia State University
10:35 AM

Manifold Learning for Network Inference
Mingyue Gao, The Johns Hopkins University; Carey E Priebe, Johns Hopkins University; Minh Tang, Johns Hopkins University
10:35 AM

Estimation and Inference for the Indirect Effect in High-Dimensional Linear Mediation Models
Ruixuan Zhou, University of Illinois at Urbana-Champaign; Liewei Wang, Mayo Clinic; Dave Zhao, University of Illinois at Urbana-Champaign
10:50 AM

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

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

Robust Clustering Using Power Posteriors: Calibration and Inference
Jeffrey Miller, Harvard School of Public Health; David B Dunson, Duke University
10:55 AM

Adaptive Mantel Test for Penalized Inference, with Applications to Imaging Genetics
Dustin Pluta, University of California, Irvine; Tong Shen, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology; Zhaoxia Yu, University of California, Irvine
10:55 AM

Sparse Model Identification and Learning for Ultra-High-Dimensional Additive Partially Linear Models
Xinyi Li; Lily Wang, Iowa State University; Dan Nettleton, Iowa State University
11:05 AM

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

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

Markov-Modulated Continuous-Time Markov Chains to Identify Site- and Branch-Specific Evolutionary Variation
Guy Baele, KU Leuven
11:15 AM

Comparison of Support Vector Machine and Conformal Inference of in Regression Prediction
Kao-Tai Tsai, Celgene
11:20 AM

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

Inference for Covariate-Adjusted Semiparametric Gaussian Copula Model Using Residual Ranks
Yue Zhao, KU Leuven; Irene Gijbels, KU Leuven; Ingrid Van Keilegom, KU Leuven
11:20 AM

On Statistical Inference in Factorial Multi-Reader Studies Using Bootstrap
Andriy Bandos, University of Pittsburgh
11:20 AM

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

AAA: Triple-Adaptive Bayesian Designs for the Identification of Optimal Dose Combinations in Dual-Agent Dose-Finding Trials
Yuan Ji, NorthShore Univ. HealthSystem / The University of Chicago; Jiaying Lyu, Fudan Universtiy
11:35 AM

Bootstrap Inference for Multiple Imputation Under Uncongeniality
Jonathan Bartlett, AstraZeneca
11:35 AM

Bayesian Nonparametrics for Evolutionary Model Selection
Mandev Gill
11:55 AM

Alternative Guarantees for Non-Inferiority and Equivalence Testing with a Data-Dependent Margin
Harlan Campbell, University of British Columbia
12:05 PM

A Solution to the Forensic Identification of Source Problems Using Fiducial Inference
Danica Ommen, Iowa State University; Jan Hannig, University of North Carolina; Jonathan Williams, University of North Carolina
2:05 PM

Inference on Multiple AUCs Based on the Combination of Multiple Biomarkers
Shu-Hui Lin, National Taichung University of Science and Technology
2:20 PM

Finite Sample Inference for Multiply Imputed Synthetic Data Under a Multiple Linear Regression Model
Martin Klein, U.S. Census Bureau
2:20 PM

Inference on the Future State of the Climate Through Combining Multiple Interdependent Climate Model Outputs with Observations Using Bayesian Hierarchical Models
Huang Huang, SAMSI; Dorit Hammerling, National Center for Atmospheric Research; Bo Li, University of Illinois at Urbana-Champaign; Richard Smith, Statistical Applied Mathematical Sciences Institute
2:20 PM

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

Integrating Auxiliary Data in Optimal Spatial Design for Species Distribution Mapping
Jonathan Stallings, North Carolina State University; Brian Reich, North Carolina State University; Krishna Pacifici, North Carolina State University
2:30 PM

On Post Dimension Reduction Statistical Inference
Kyongwon Kim, The Pennsylvania State University; Bing Li, The Pennsylvania State University
2:35 PM

Extreme Inference of Nonparametric Quantile Regression with Heavy Tailed Data
Takuma Yoshida
2:35 PM

Variational EM Type Algorithm Using Divergences:Applications to Privacy Analytics
Lei Li, George Mason University; Anand N Vidyashankar, George Mason University
2:35 PM

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

Testing for Differentially Expressed Genetic Pathways with Single-Subject N-Of-1 Data in the Presence of Inter-Gene Correlation
Alfred Schissler, University of Nevada, Reno; Walter W Piegorsch, University of Arizona; Yves A Lussier, University of Arizona
2:50 PM

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

An Exact Auxiliary- Variable Gibbs Sampler for Stochastic Differential Equations
Vinayak P Rao, Purdue University
3:05 PM

Thursday, 08/02/2018

Informing HIV Prevention and Surveillance Efforts Using Large-Scale Molecular Transmission Cluster Inference
Sergei Pond, Temple University; Joel Wertheim, University of California San Diego
8:35 AM

Inferential Challenges in Machine Learning and Precision Medicine
Michael Kosorok, University of North Carolina at Chapel Hill
8:35 AM

Epsilon-Approximations to the Pitman-Yor Process
Pierpaolo De Blasi, University of Turin
8:35 AM

Variational Inference for Proportional Hazards Model with Power Prior in Oncology Studies
Bo Jin, Boston Biomedical Inc.; Yue Chang, Boston Biomedical Inc
8:35 AM

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

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

Inference for Clinical Trials That Rely on Historical Data: a Review of Statistical Approaches for Reducing Risk of Bias
Lei Nie, Division of Biometrics V, office of Biostatistics, CDER/FDA; James Signorovitch, Analysis Group; Rajeev Ayyagari, Analysis Group
8:55 AM

Inference for Recursive Trees
Nicolas Fraiman, University of North Carolina at Chapel Hill; Shankar Bhamidi, University of North Carolina at Chapel Hill; Andrew B Nobel, University of North Carolina at Chapel Hill; Ruituo Fan, University of North Carolina at Chapel Hill
9:00 AM

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

Partition Mixture of 1D Wavelets for Multi-Dimensional Data with Application to Image Analysis
Li Ma, Duke University; Meng Li, Rice University
9:15 AM

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

A Quantile-Based Asymmetric Family of Distributions: Inference
Anneleen Verhasselt, Hasselt University; Karim Rezaul, Hasselt University and KU Leuven; Irene Gijbels, KU Leuven
9:20 AM

Statistical Inference for Interaction Effects in Unreplicated Studies via Bayesian Model Averaging
Christopher Franck, Virginia Tech
9:20 AM

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

Estimation and Inference for the Mediation Effect in a Time-Varying Mediation Model
Donna Coffman, Temple University; Xizhen Cai, Temple University; Runze Li, Penn State University
9:50 AM

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

Statistical Inference of Brain Connectivity Networks: a Network Topology Based Method
Yishi Xing; Shuo Chen, University of Maryland, School of Medicine
10:55 AM

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

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

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

Nonparametric Inference for the Coefficient of Variation
Dongliang Wang, SUNY Upstate Medical University; Margaret Formica , SUNY Upstate Medical University; Song Liu, Roswell Park Cancer Institute
11:20 AM

Leveraging "Medium-Sized" Data for Statistical Inference and Model Estimation of Data Gaps in International Energy Statistics Using R
Glendon Haynes, Energy Information Administration
11:20 AM

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

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

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

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

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

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

Fast Maximum Likelihood Inference for Spatial Generalized Linear Mixed Models
Yawen Guan, The Statistical and Applied Mathematical Sciences Institute; Murali Haran, Penn State University
11:50 AM

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

JSM 2018 Online Program

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