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Keyword Search Criteria: infer returned 381 record(s)
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Sunday, 07/29/2018
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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
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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
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Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Xinkun Nie, Stanford University; Stefan Wager, Stanford University
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Deep Learning for Statistical Inference in Infectious Disease Systems
Rob Deardon, University of Calgary; Carolyn Augusta, University of Guelph; Graham Taylor, University of Guelph
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An Expectation Conditional Maximization Approach for Gaussian Graphical Models
Zehang Li, University of Washington; Tyler McCormick, University of Washington
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Inference of Introgressive Hybridization in Anopheles Mosquito Genomes
Jingxue(Grace) Feng, Simon Fraser University; Liangliang Wang, Simon Fraser University; Cedric Chauve, Simon Fraser University
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Infere
Steven Cumming, Université Laval
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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
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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
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A Hierarchical Bayesian Deconvolution Model for Inferring Immune Cell Components in Tumor
An-Shun Tai, National Tsing Hua University
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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
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Sample Size Calculations for Non-Inferiority Trials Using the Concept of Proportional Time
Milind A Phadnis, University of Kansas Medical Center
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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
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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
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Spatially Informed Variable Selection Priors and Application to Neuroimaging Data
Marina Vannucci, Rice University
2:05 PM
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Predictive Inference for Locally Stationary Time Series with an Application to Climate Data
Srinjoy Das, UCSD; Dimitris Politis, UCSD
2:05 PM
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A Hierarchical Bayesian Deconvolution Model for Inferring Immune Cell Components in Tumor
An-Shun Tai, National Tsing Hua University
2:15 PM
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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
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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
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Regression-Adjusted Estimators in Randomized Experiments with a Diverging Number of Predictors
Lihua Lei, UC Berkeley; Peng Ding, UC Berkeley
2:20 PM
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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
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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
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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
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Significance Testing in Non-Sparse High-Dimensional Linear Models
Yinchu Zhu, University of Oregon; Jelena Bradic, UC San Diego
2:50 PM
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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
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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
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Debiasing the Debiased Lasso with Bootstrap
Sai Li, Rutgers University
3:05 PM
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Optimal Multiple Confidence Regions
Edsel Pena, University of South Carolina; Taeho Kim, University of South Carolina
3:05 PM
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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
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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
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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
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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
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Network Regression and Inference
Peng Wang, University of Cincinnati; Xiaotong Shen, University of Minnesota
3:25 PM
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Sample Size Calculations for Non-Inferiority Trials Using the Concept of Proportional Time
Milind A Phadnis, University of Kansas Medical Center
3:25 PM
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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
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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
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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
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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
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Causal Inference Applications in Google Search Ads
Jeffrey Moulton, Google; Valeria Espinosa, Google
4:25 PM
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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
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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
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Inferring Spatial Point Intensity of Geomagnetic Anomalies from Transect Sampling
Kenneth Flagg, Montana State University; Andrew Hoegh, Montana State University; Megan Higgs, Montana State University; John Borkowski, Montana State University
4:35 PM
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Randomized Experiments on Amazon's Supply Chain
David Afshartous, Amazon; Luke Smith, Amazon
4:45 PM
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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
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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
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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
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Statistical Significance: Time to Look Forward
Philip Sedgwick, St. George's, University of London
5:05 PM
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Propensity Score Stratification: Are We Doing it Wrong?
Roland Matsouaka, Duke University School of Medicine
5:20 PM
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Causal Organic Direct and Indirect Effects: Closer to Baron and Kenny
Judith Lok, Harvard T.H. Chan School of Public Health
5:20 PM
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Incorporating Host Genomics Data and Microbial Network Inference
Richard Bonneau, NYU Center for Data Science & Simons Foundation
5:25 PM
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Monday, 07/30/2018
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Bayesian Phylogenetic Inference via Particle Gibbs Sampler with Ancestor Sampling
Shijia Wang, Simon Fraser University; Liangliang Wang, Simon Fraser University
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New Quasi-Experimental Devices for Observational Studies
Dylan Small, University of Pennsylvania
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EAinference: An R Package for Simulation-Based Inference via Estimator Augmentation
Seunghyun Min, UCLA; Qing Zhou, UCLA
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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
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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
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Honest Confidence Sets for High-Dimensional Linear Regression by Projection and Shrinkage
Kun Zhou, University of California, Los Angeles; Qing Zhou, UCLA
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A Joint Modeling Approach for Directed Acyclic Network Data
Yan Zhou, Merck &Co., Inc
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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
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Nonparametric Testing for Multiple Survival Functions with Non-Inferiority Margins
Hsin-wen Chang, Academia Sinica; Ian W. McKeague, Columbia University
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Applications of Directional Inference
Andrew McCormack; Nancy Reid, University of Toronto; Sri-Amirthan Theivendran, University of Toronto; Nicola Sartori, University of Padua
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Type S Error Control in Hypothesis Testing
Andrew Neath, SIU Edwardsville
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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
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Approximate Inference for Large Non-Gaussian Spatial Data
Daniel Zilber, Texas A&M University; Matthias Katzfuss, Texas A&M University
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Embedding Observational Studies into Hypothetical Fractional-Factorial Experiments
Nicole Pashley, Harvard University; Marie-Abele Bind, Harvard University
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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
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Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modeling
Mark Dawkins
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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
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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
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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
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Absence of Evidence Is Not Evidence of Absence: a Better Parallel Trends Test
Alyssa Bilinski, Harvard Graduate School of Arts and Sciences; Laura Hatfield, Harvard Medical School
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Sufficient Cause Interaction for Ordinal and Categorical Outcomes
Jaffer Zaidi; Tyler VanderWeele, Harvard University
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A Hands-on Inferential Statistics Experiment: Do Students Perceive Value?
Sudipta Roy, University of St. Francis; Richard Kloser, University of St. Francis
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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
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Constrained Bayesian Inference Through Posterior Projections
Sayan Patra, Duke University; David B Dunson, Duke University
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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
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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
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Building Representative Matched Samples in Large-Scale Observational Studies with Multivalued Treatments
Jose Zubizarreta, Harvard University
8:35 AM
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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
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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
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Model Class Reliance: Variable Importance Measures for Any Machine Learning Model Class, from the
Aaron Fisher, Harvard University; Cynthia Rudin, Duke University; Francesca Dominici, Harvard T. H. Chan School of Public Health
8:40 AM
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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
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Inferential Analysis of the Supreme Court Citation Network
Christian Schmid, The Pennsylvania State University; Bruce Desmarais, The Pennsylvania State University
8:50 AM
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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
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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
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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
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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
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A Hands-on Inferential Statistics Experiment: Do Students Perceive Value?
Sudipta Roy, University of St. Francis; Richard Kloser, University of St. Francis
9:00 AM
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Inferring Low-Rank Population Structure from Multiple Network Samples
Keith Levin, University of Michigan; Asad Lodhia, University of Michigan; Elizaveta Levina, University of Michigan
9:05 AM
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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
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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
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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
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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
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Intravenous Fluid Treatments for Ebola Patients: The Risk and the Reward
Derrick Yam, Brown University; Tao Liu, Brown University; Adam Levine, Brown University; Adam Aluisio, Brown University; Shiromi Peters, International Medical Corps; Suzanne Averill, International Medical Corps; Stephen Kennedy, Ministry of Health, Liberia; Fodey Sahr, Sierra Leone Ministry of Defence; Jillian Peters, Brown University; Daniel Cho, Brown University
9:05 AM
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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
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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
9:05 AM
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Approximate Inference for Large Non-Gaussian Spatial Data
Daniel Zilber, Texas A&M University; Matthias Katzfuss, Texas A&M University
9:10 AM
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Investigating the Cosmic Web with Topological Data Analysis
Jessi Cisewski-Kehe, Yale University
9:15 AM
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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
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Decision-Theoretic Aspects of Causal Inference Under Network Interference
Daniel L Sussman, Boston University
9:25 AM
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Poly-Matching for Observational Studies: A Comparative Trauma Care Study
Bo Lu, The Ohio State University
9:25 AM
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Multilevel Monte Carlo for Inference
Kody Law, Oak Ridge National Laboratory
9:35 AM
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Type S Error Control in Hypothesis Testing
Andrew Neath, SIU Edwardsville
9:45 AM
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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
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Constrained Bayesian Inference Through Posterior Projections
Sayan Patra, Duke University; David B Dunson, Duke University
9:50 AM
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Optimal Matching Approaches in Health Policy Evaluations Under Rolling Enrollment
Jonathan Gellar, Mathematica Policy Research; Jiaqi Li, Mathematica Policy Research; Lauren Vollmer, Mathematica Policy Research
9:50 AM
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Absence of Evidence Is Not Evidence of Absence: a Better Parallel Trends Test
Alyssa Bilinski, Harvard Graduate School of Arts and Sciences; Laura Hatfield, Harvard Medical School
10:00 AM
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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
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Statistical Inference for Neuroimaging Genetics
Long Feng, Yale University; Xuan Bi, Yale University; Heping Zhang, Yale University School of Public Health
10:35 AM
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Estimating Average Causal Treatment Effects Utilizing Fractional Imputation When Confounders Are Subject to Missingness
Nathaniel Corder, North Carolina State University; Shu Yang, North Carolina State University
10:35 AM
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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
10:45 AM
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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
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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
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Sufficient Cause Interaction for Ordinal and Categorical Outcomes
Jaffer Zaidi; Tyler VanderWeele, Harvard University
10:50 AM
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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
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Covariate Selection for Generalizing Experimental Results
Erin Hartman, UCLA; Naoki Egami, Princeton University
10:55 AM
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Bridging to Bridges in Vaccine Development: Challenges in Comparing Multi-Serotype Vaccines
Jonathan Hartzel, Merck
10:55 AM
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Neuronized Priors for A Unified Sparsity Inference
Ismael Castillo, Universite Pierre et Marie Curie - Paris 6; Minsuk Shin, Harvard University
11:00 AM
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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
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A Bayesian Nonparametric Approach to Estimate Causal Effects of Mediation in the Presence of Nonignorable Missingness
Dandan Xu, US Food and Drug Administration; Michael Daniels, University of Florida
11:10 AM
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Sound Statistical Inference from Big Data in the Insurance Industry
Christopher Haydon Holloman, ICC
11:15 AM
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A Unified Approach to the Statistical Evaluation of Differential Vaccine Efficacy
Erin Gabriel, Karolinska Institute; Dean Follmann, NIAID
11:20 AM
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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
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Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modeling
Mark Dawkins
11:20 AM
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Moral Hazard Effects of Bank Resolution Policies: Inferences from a Bayesian Nonparametric Study
Padma Sharma, UC Irvine
11:20 AM
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Probabilities of Causation of Climate Changes
Alexis Hannart, Ouranos
11:25 AM
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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
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Beyond Random-Walk MCMC for Bayesian Phylogenetics
Frederick Matsen, Fred Hutchinson Cancer Research Center
11:35 AM
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Edward: a Library for Probabilistic Machine Learning and Statistics
Dustin Tran, Columbia University; David Blei, Columbia University
11:35 AM
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Infer the in Vivo Point of Departure with ToxCast in Vitro Assay Data Using a Robust Learning Approach
Dong Wang, FDA National Center for Toxicological Research (NCTR)
11:35 AM
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Embedding Observational Studies into Hypothetical Fractional-Factorial Experiments
Nicole Pashley, Harvard University; Marie-Abele Bind, Harvard University
11:35 AM
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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
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Generalized Causal Mediation and Path Analysis Using the R Gmediation Package
Jeffrey Albert, Case Western Reserve University
11:35 AM
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Using Validation Data to Adjust the Inverse Probability Weighting Treatment Effect Estimator for Misclassified Treatment
Danielle Braun, Harvard T. H. Chan School of Public Health; Corwin Zigler, Harvard T.H. Chan School of Public Health; Francesca Dominici, Harvard T. H. Chan School of Public Health; Malka Gorfine, Tel Aviv University
11:40 AM
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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
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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
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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
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A Factor Augmented Vector Autoregressive Model Under High-Dimensional Scaling
George Michailidis, University of Florida; Jiahe Lin, University of Michigan
2:05 PM
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Studentized Sensitivity Analysis in Paired Observational Studies
Colin Fogarty, Massachusetts Institute of Technology
2:05 PM
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A Classical Regression Framework for Mediation Analysis with Applications to Behavioral Science
Christina Saunders
2:05 PM
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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
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Bayesian Network Regularized Regression for Modeling Urban Crime Occurrences
Elizabeth Mary Upton, Boston University; Luis Carvalho, Boston University
2:20 PM
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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
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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
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Valid Inference Corrected for Outlier Removal
Shuxiao Chen, Cornell Univ; Jacob Bien, University of Southern California
2:25 PM
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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
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The Promise and Peril of Pediatric Extrapolation
Robert Nelson, Johnson & Johnson
2:25 PM
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Statistical Inference for High-Dimensional Time Series
Ruey S Tsay, University of Chicago, Booth School of Business
2:30 PM
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Multiple Imputation for Adaptive Survey Design
Trivellore Raghunathan, University of Michigan
2:30 PM
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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
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Practical Bayesian Inference for Record Linkage
Brendan McVeigh, Carnegie Mellon University; Jared S Murray, University of Texas at Austin
2:45 PM
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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
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Aligning Inference with the Tidyverse: Development of the Infer Package
Andrew Paul Bray, Reed College
3:05 PM
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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
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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
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Bayesian Model-Assisted Estimation for Functional Data in Survey Sampling
Luis Fernando Campos, Harvard University
3:25 PM
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Minimal Approximately Balancing Weights: Asymptotic Properties and Practical Considerations
Yixin Wang, Columbia University; Jose Zubizarreta, Harvard University
3:25 PM
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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
|
Inferring Multimotor Dynamics Through Cargo Tracking
Lauren Crow, Arizona State Univ
|
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
|
Non-Inferiority Margins in Superiority/Non-Inferiority Seamless Clinical Trials
Ellen Gurary, Boston University; Joe Massaro, Boston University
|
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
|
Inferring Networks from Personal, Dense, Dynamic Data Clouds of Biological and Quantified-Self Data
Elisa Sheng, Arivale
|
Application of External Concordance Method
Wenliang Yao, Astrazeneca; Pralay Mukhopadhyay, Astrazeneca
|
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
|
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
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
|
Inferring Gene Regulatory Networks from a Population of Yeast Segregants
Dabao Zhang, Purdue University
9:35 AM
|
Application of External Concordance Method
Wenliang Yao, Astrazeneca; Pralay Mukhopadhyay, Astrazeneca
9:40 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
|
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
10:40 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
|
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
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
|
Inferring Networks from Personal, Dense, Dynamic Data Clouds of Biological and Quantified-Self Data
Elisa Sheng, Arivale
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
|
Causal Inference with Complex Surveys: a Comparison of Propensity Score Based Methods
Daniele Bottigliengo, Università degli Studi di Padova; Ileana Baldi, Università degli Studi di Padova; Corrado Lanera, Università degli Studi di Padova; Dario Gregori, Università degli Studi di Padova; Paola Berchialla, Università degli Studi di Torino
11:55 AM
|
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
|
Inferring the Impact of Genetic Variation on Regulatory Networks
Sara Mostafavi
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
|
A Weighted Kernel Machine Regression Approach to Environmental Pollutants and Infertility
Zhen Chen, NICHD/NIH; Wei Zhang, BBB/DIPHR/NICHD; Aiyi Liu, BBB/DIPHR/NICHD; Germaine Buck Louis, George Mason 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
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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
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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 Weighted Kernel Machine Regression Approach to Environmental Pollutants and Infertility
Zhen Chen, NICHD/NIH; Wei Zhang, BBB/DIPHR/NICHD; Aiyi Liu, BBB/DIPHR/NICHD; Germaine Buck Louis, George Mason University
8:35 AM
|
A Powerful Approach to the Study of Moderate Effect Modification in Observational Studies
Kwonsang Lee, Harvard University; Dylan Small, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania
8:50 AM
|
Exact Spike Train Inference via $\Ell_0$ Optimization
Daniela Witten, University of Washington; Sean Jewell, University of Washington
8:55 AM
|
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
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
|
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
9:05 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
|
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
9:35 AM
|
A Variational Bayes Approach to Clustered Latent Preference Models for Directed Network Data
Jaron Lee, Australian National University
9:40 AM
|
Estimation of Outcome Trajectory Using Inverse Probability of Censoring Weighting When Data Are Missing Not at Random
Dustin Rabideau, Harvard T.H. Chan School of Public Health; Constantin T. Yiannoutsos, Indiana University Fairbanks School of Public Health; Ronald J. Bosch, Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health; Judith Lok, Harvard T.H. Chan School of Public Health
9:45 AM
|
When Confounders Are Confounded: Naive Benchmarking in Sensitivity Analysis
Carlos Leonardo Kulnig Cinelli, UCLA; Judea Pearl, UCLA; Bryant Chen, IBM
9:50 AM
|
Gaussian Variational Estimation for Multidimensional Item Response Theory
April Eun Cho, University of Michigan; Gongjun Xu, University of Michigan
9:55 AM
|
Composite Endpoints in Clinical Trials with Multiple Correlated Dichotomous Outcomes
Boris Zaslavsky, FDA/CBER
10:05 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
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Polynomial Approximate Sufficient Statistics for Scalable Bayesian Inference
Tamara Broderick, Massachusetts Institute of Technology
10:35 AM
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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
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Sharp Instruments for Classifying Compliers and Generalizing Causal Effects
Edward Kennedy, Carnegie Mellon University
10:35 AM
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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
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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
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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
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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
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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
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Matching Using Sufficient Dimension Reduction for Causal Inference
Yeying Zhu, University of Waterloo; Wei Luo, Baruch College
10:55 AM
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Inferring Non-Bifurcating Phylogenies with the Adaptive Lasso
Vu Dinh, University Of Delaware
10:55 AM
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Robust Clustering Using Power Posteriors: Calibration and Inference
Jeffrey Miller, Harvard School of Public Health; David B Dunson, Duke University
10:55 AM
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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
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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
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Model Assessment in Causal Inference Using Explicit Validators
Booil Jo, Stanford University
11:15 AM
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A Robust and Efficient Approach to Causal Inference Based on Sparse Sufficient Dimension Reduction
Shujie Ma, UC Riverside-Dept of Statistics
11:15 AM
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Markov-Modulated Continuous-Time Markov Chains to Identify Site- and Branch-Specific Evolutionary Variation
Guy Baele, KU Leuven
11:15 AM
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Inferring Social Structure from Continuous-Time Interaction Data
Bailey Fosdick, Colorado State University; Wesley Lee, University of Washington; Tyler McCormick, University of Washington
11:15 AM
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Comparison of Support Vector Machine and Conformal Inference of in Regression Prediction
Kao-Tai Tsai, Celgene
11:20 AM
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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
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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
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On Statistical Inference in Factorial Multi-Reader Studies Using Bootstrap
Andriy Bandos, University of Pittsburgh
11:20 AM
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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
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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
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Bootstrap Inference for Multiple Imputation Under Uncongeniality
Jonathan Bartlett, AstraZeneca
11:35 AM
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Bayesian Nonparametrics for Evolutionary Model Selection
Mandev Gill
11:55 AM
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Alternative Guarantees for Non-Inferiority and Equivalence Testing with a Data-Dependent Margin
Harlan Campbell, University of British Columbia
12:05 PM
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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
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Inference on Multiple AUCs Based on the Combination of Multiple Biomarkers
Shu-Hui Lin, National Taichung University of Science and Technology
2:20 PM
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Finite Sample Inference for Multiply Imputed Synthetic Data Under a Multiple Linear Regression Model
Martin Klein, U.S. Census Bureau
2:20 PM
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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
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Causal Inference Under Unmodeled and All-Encompassing Interference
Fredrik Sävje, Yale University
2:25 PM
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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
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On Post Dimension Reduction Statistical Inference
Kyongwon Kim, The Pennsylvania State University; Bing Li, The Pennsylvania State University
2:35 PM
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Extreme Inference of Nonparametric Quantile Regression with Heavy Tailed Data
Takuma Yoshida
2:35 PM
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Variational EM Type Algorithm Using Divergences:Applications to Privacy Analytics
Lei Li, George Mason University; Anand N Vidyashankar, George Mason University
2:35 PM
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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
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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
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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
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An Exact Auxiliary- Variable Gibbs Sampler for Stochastic Differential Equations
Vinayak P Rao, Purdue University
3:05 PM
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Thursday, 08/02/2018
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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
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Inferential Challenges in Machine Learning and Precision Medicine
Michael Kosorok, University of North Carolina at Chapel Hill
8:35 AM
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Epsilon-Approximations to the Pitman-Yor Process
Pierpaolo De Blasi, University of Turin
8:35 AM
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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
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Fair Inference Through Semiparametric-Efficient Estimation Over Constraint-Specific Paths
Nima Hejazi, Group in Biostatistics, UC Berkeley
8:35 AM
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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
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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
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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
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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
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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
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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
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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
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Statistical Inference for Interaction Effects in Unreplicated Studies via Bayesian Model Averaging
Christopher Franck, Virginia Tech
9:20 AM
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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
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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
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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
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Statistical Inference of Brain Connectivity Networks: a Network Topology Based Method
Yishi Xing; Shuo Chen, University of Maryland, School of Medicine
10:55 AM
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Targeted Learning for Causal Inference
Mark van der Laan, UC Berkeley
11:00 AM
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IMP: Interference Manipulating Permutations
Michael Baiocchi, Stanford University; Eric Jay Daza, Stanford University
11:00 AM
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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
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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
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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
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Regularized Calibrated Estimation of Propensity Scores with Model Misspecification and High-Dimensional Data
Zhiqiang Tan, Rutgers University
11:25 AM
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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
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On Evaluation of Consistency in Multi-Regional Clinical Trials
Lisa Ying; Fuyu Song, Center for Food and Drug Inspection, cFDA; Shein-Chung Chow, Food and Drug Administration; Na Zeng, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital; Jiayin Zheng, Fred Hutchinson Cancer Research Center; Xiaodong Li, Bristol-Myers Squibb Company; David Henry, Bristol-Myers Squibb Company; Venkat Sethuraman, ZS Associates
11:35 AM
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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
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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
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Interference and Noncompliance in Clustered Randomized Trials for Program Evaluation
Hyunseung Kang, University of Wisconsin - Madison; Luke Keele, Georgetown University
11:50 AM
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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
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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
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Mitigating Test-Control Interference in Marketplace Experimentation
Duncan Gilchrist, Uber Technologies
11:55 AM
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