Keyword Search
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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: IAB returned 245 record(s)
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Sunday, 07/30/2017
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IMs for IVs: An Inferential Model Approach to Instrumental Variable Regression
Nicholas Aaron Syring, NCSU; Ryan Martin, NCSU
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Template-Based Independent Component Analysis of fMRI: Reliable and Efficient Estimation of Subject-Level Resting-State Networks
Amanda Mejia, Indiana University; Ying Guo, Emory University
2:05 PM
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Predicting Platinum Resistance in Ovarian Cancer Treatment from Integrated Genomic Data
Esther Drill, Memorial Sloan Kettering Cancer Center; Ronglai Shen, Memorial Sloan Kettering Cancer Center; Yuanjia Wang , Columbia University
2:05 PM
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Integrative Boosting with Multiple Genomic Platforms Improves Prediction Accuracy for Survival Time in Cancer Patients
Kin Yau Wong, The University of North Carolina at Chapel Hill; Cheng Fan, The University of North Carolina at Chapel Hill; Maki Tanoika , The University of North Carolina at Chapel Hill; Joel S. Parker, The University of North Carolina at Chapel Hill; Andrew B. Nobel, The University of North Carolina at Chapel Hill; Donglin Zeng, University of North Carolina; Danyu Lin, University of North Carolina; Charles M. Perou, The University of North Carolina at Chapel Hill
2:20 PM
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Inference for Errors-In-Variables Models in the Presence of Spatial and Temporal Dependence with an Application to a Carbon Dioxide Remote Sensing Campaign
Bohai Zhang, University of Wollongong; Noel Cressie, University of Wollongong; Debra Wunch, University of Toronto
2:25 PM
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P-Values: Variability, Reproducibility and Lessons from Multiple Testing
Naomi Altman, Penn State University
2:30 PM
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Comparing Correlated Component Regression with Lasso for Variable Selection in Logistic Regression with High-Dimensional Data
Jay Magidson, Statistical innovations
2:30 PM
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Semiparametric Approaches to Bayesian Inference in Binary Instrumental Variable Models
Jared S Murray, Carnegie Mellon University
2:35 PM
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Predictive Modeling with Composite of Popular Distributions
Min Deng, Towson University; Mostafa S Aminzadeh, Towson University
2:35 PM
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Scalable Bayesian Learning for Sparse Logistic Models
Xichen Huang; Feng Liang, University of Illinois at Urbana Champaign
2:45 PM
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The Generalized Lasso Problem and Uniqueness
Alnur Ali; Ryan Tibshirani, Carnegie Mellon University
2:45 PM
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TEMPORAL CHANGES in the POWER PRODUCTION of REAL-WORLD PHOTOVOLTAIC SYSTEMS UNDER DIVERSE CLIMATIC CONDITIONS
Rojiar Haddadian, Case Western Reserve University; Yang Hu, Case Western Reserve University; Alan J. Curran, Case Western Reserve University; Ahmad M Karimi, Case Western Reserve university; Timothy J. Peshek, Case Western Reserve University; Roger H. French, Case Western Reserve university
2:50 PM
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Multivariate Ordinal Regression Models: An Analysis of Corporate Credit Ratings
Rainer Hirk, WU Vienna University of Economics and Business; Laura Vana, WU Vienna University of Economics and Business; Kurt Hornik, WU Vienna University of Economics and Business
2:50 PM
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Multi-Level Bayesian Models for Psychiatric and Brain Imaging Data
Wesley Kurt Thompson, UCSD
2:55 PM
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Bayesian Nonparametric Variable Selection for Optimal Treatment Decisions
Rui Li, North Carolina State University; Brian Reich, NCSU; Howard Bondell, NC State University
3:05 PM
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Multivariate Spatial Point Patterns via Correlated Bernoulli Indicators
Matthew Heaton, Brigham Young University; Matthew Bekker, Brigham Young University
3:20 PM
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Characterization of Volatile Compounds in Cowart Muscadine Grape
June Luo
3:20 PM
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Addressing Between-Study Heterogeneity and Cross Platform Data Integration for Gene Signature Selection and Clinical Prediction
Naim Rashid, University of North Carolina at Chapel Hill; Quefeng Li, The University of North Carolina at Chapel Hill; Joseph G Ibrahim, UNC
3:20 PM
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An Empirical Bayesian Approach of Reliability Analysis Based on Wiener Degradation Processes
Tsai-Hung Fan
3:35 PM
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An Evaluation of Bias in Propensity Score Adjusted Nonlinear Regression Models
Fei Wan, University of Arkansas for Medical Sciences; Nandita Mitra, University of Pennslyvania
4:05 PM
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Probing the Association Between the Magnetic Dip Poles and Climate Change Using Indicator Variable Regression
Lewis Shoemaker, Millersville University of Pennsylvania
4:05 PM
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On Corporate Bankruptcy Prediction
Yan Yu, University of Cincinnati; Aidong Ding, Northeastern University; Shaonan Tian, San Jose State University; Hui Guo, University of Cincinnati
4:05 PM
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A Fused Latent and Graphical Model for Multivariate Binary Data
Yunxiao Chen, Emory University; Xiaoou Li, University of Minnesota Twin Cities; Jingcheng Liu, Columbia University; Zhiliang Ying, Columbia University
4:05 PM
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Assessing Latent Dimensionality of a Symptom Battery in a Sample with Many Subjects Exhibiting No Symptoms
William Christensen, Brigham Young University; Melanie M Wall, Columbia University; Irini Moustaki, London School of Economics
4:05 PM
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Ultra-high-dimensional Additive Partially Linear Models
Xinyi Li, Iowa State University; Li Wang, Iowa State University; Dan Nettleton, Iowa State University
4:20 PM
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Recursive Partition Split Selection Using a Permutation Test for Complex Sample Data
Daniell Toth, U.S. Bureau of Labor Statistics
4:45 PM
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Testing Independence Between Two Categorical Variables
Kenneth Liu, Merck & Co.
5:05 PM
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Comparing Algorithmic Alerts Using Provisional Case Counts to Alerts Using Finalized Data--National Notifiable Diseases Surveillance System
Hong Zhou, CDC; Howard Burkom, Johns Hopkins Applied Physics Laboratory; Ruth Jajosky, Centers for Disease Control and Prevention; Tara Strine, Centers for Disease Control and Prevention
5:05 PM
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Nonparametric Functional Calibration of Computer Models
Andrew Brown, Clemson University; Sez Atamturktur, Glenn Department of Civil Engineering, Clemson University
5:05 PM
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Functional Regression for Monitoring and Predicting Changes in Forest Conditions Across Space and Time
MD KAMRUL HASAN KHAN, University of Arkansas; Avishek Chakraborty, University of Arkansas; Giovanni Petris, University of Arkansas; Barry Wilson, US Forest Service
5:05 PM
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An Integrative Genomics Approach to Infer Gene Expression Statistical Causal Network
Akram Yazdani, Icahn School of Medicine at Mount Sinai ; Azam Yazdani, The University of Texas School of Public Health, Houston; Panos Roussos, Icahn School of Medicine at Mount Sinai
5:05 PM
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Making Sense of Sensitivity: Extending Omitted Variable Bias
Carlos Leonardo Kulnig Cinelli, UCLA; Chad Hazlett, UCLA; Michael Tzen, UCLA
5:05 PM
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Test of Adaptive Survey Design from a Bayesian Perspective in a Longitudinal Survey
Peter Lundquist, Statistics Sweden; Anton Johansson, Statistics Sweden; Gabriele Durrant, University of Southampton
5:20 PM
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Exploratory Approaches for Determination of Important Physical Attributes of Cigarettes in the Yields of Tar, Nicotine and CO: a Case Study
Christopher Ellison, Food and Drug Administration; Qian Li, Food and Drug Administration
5:20 PM
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Combining Clinical and Nonclinical Big Data from Multiple Sources
Javier Cabrera, Rutgers University; Birol Emir, Pfizer Inc; Demissie Alemayehu, Pfizer Inc
5:25 PM
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Monday, 07/31/2017
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Joint Modeling of Longitudinal Trajectories and Censoring Mechanism Using Shared Latent Random Variables
Miran Jaffa, American University of Beirut; Ayad A Jaffa, American University of Beirut
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Optimal Variable Selection in Regression Models
Jie Ding, Harvard; Vahid Tarokh, Harvard; Yuhong Yang, University of Minnesota
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Variable Selection and Penalized Regression Methods for Clinical Projects: Practical Issues
Anne Eaton; Mithat Gönen, Memorial Sloan Kettering Cancer Center
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Impact of Missing Data in Feature Selection
Carmen Khoo
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A Comparative Study of Student Understanding of Center and Variability in Graphical Displays
Amy Froelich, Iowa State University; Jennifer Kaplan, University of Georgia; Alexander Lyford, UGA; Kathleen Rey, Iowa State University
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A Robust Model-Free Feature Screening Method for Ultrahigh-Dimensional Data
Jingnan Xue, Texas A&M University; Faming Liang, University of Florida
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A Bayesian Approach to Dynamic Functional Connectivity in fMRI Data
Ryan Warnick, Rice University; Marina Vannucci, Rice University; Michele Guindani, University of California, Irvine; Erik Erhardt, University of New Mexico; Elena Allen, Medici Technologies; Vince Calhoun, University of New Mexico
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Income and Expenditure in US Households: a Multivariate Analysis of Consumer Expenditure Fmli161 Dataset
Mingzhao Hu, University of Wisconsin - Madison
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Variable Selection via Phony Variables
Wenhao Hu, North Carolina State University; Eric Laber, North Carolina State University; Leonard Stefanski, North Carolina State University
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Instrument Assisted Partial-Linear Single Index Regression for Errors in Variables Models with Binary Response
Qianqian Wang, University of South Carolina; Yanyuan Ma, Penn State University; Guangren Yang, Jinan University; Xia Cui, Zhongshan University
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Comparison of Treatment Regime Estimation Methods Incorporating Variable Selection: Lessons from a Large Simulation Study
Adam Ciarleglio, Columbia; Eva Petkova, New York University School of Medicine; Thaddeus Tarpey, Wright State University; Zhe Su, New York University School of Medicine; R. Todd Ogden, Department of Biostatistics, Columbia University
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Instrumental Variables Approaches in Hurdle Data
Jacqueline Mauro, Carnegie Mellon University
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Bayesian Adjustment for Confounding When Estimating Average Causal Effects for Time-To-Event Outcomes
Li Xu; Arnold Stromberg, Department of Statistics, University of Kentucky; Chi Wang, Cancer Biostatistics, University of Kentucky
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Assessing Variable Importance Nonparametrically Using Machine Learning Techniques
Brian Williamson, University of Washington; Marco Carone, University of Washington Department of Biostatistics; Noah Simon, University of Washington; Peter Gilbert, Fred Hutchinson Cancer Research Center
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Deep Learning Econometrics
Guanhao Feng; Nicholas Polson, University of Chicago; Jianeng Xu, University of Chicago
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A Semiparametric Latent Trait Model for Multiple Mixed Continuous, Binary and Ordinal Outcomes
Sophie Yu-Pu Chen, University of Michigan; Alex Tsodikov, University of Michigan
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A Case Study in Adaptive LASSO Logistic Regression: Factors Related to Cyclist Death When Drivers Are Distracted
Lysbeth Floden, University of Arizona; Patrick Anthony O'Connor, University of Arizona; Melanie Bell, University of Arizona
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Increasing Precision and Removing Conditional Bias by Appropriate Adjustment for Baseline Variables in Randomized Trials
Bingkai Wang, Johns Hopkins Bloomberg SPH; Michael Rosenblum, Johns Hopkins University
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Variable Selection for High-Dimensional Data via Generalized Penalty
Mingwei Sun, University of Alabama; Pu Patrick Wang, University of Alabama
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Detection of Treatment Effect After Variable Selection Under Model Misspecification
Jingshen Wang, University of Michigan; Xuming He, University of Michigan
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Improving Power in Group Sequential, Randomized Trials by Adjusting for Prognostic Baseline Variables and Short-Term Outcomes
Tianchen Qian, Johns Hopkins University; Michael Rosenblum, Johns Hopkins University; Huitong Qiu, Vatic Lab
8:35 AM
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Generalizability Theory for Clinician-Rated Outcomes
Joseph Cappelleri, Pfizer Inc
8:35 AM
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Income and Expenditure in US Households: a Multivariate Analysis of Consumer Expenditure Fmli161 Dataset
Mingzhao Hu, University of Wisconsin - Madison
8:35 AM
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A Robust Model-Free Feature Screening Method for Ultrahigh-Dimensional Data
Jingnan Xue, Texas A&M University; Faming Liang, University of Florida
8:40 AM
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A Bayesian Approach to Dynamic Functional Connectivity in fMRI Data
Ryan Warnick, Rice University; Marina Vannucci, Rice University; Michele Guindani, University of California, Irvine; Erik Erhardt, University of New Mexico; Elena Allen, Medici Technologies; Vince Calhoun, University of New Mexico
8:50 AM
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Statistical Methods for Prediction of High-Performance Computing I/O Variability
Li Xu, Virginia Tech
8:50 AM
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Variable Selection via Phony Variables
Wenhao Hu, North Carolina State University; Eric Laber, North Carolina State University; Leonard Stefanski, North Carolina State University
8:50 AM
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Quantile Function Modeling with Application to Salinity Tolerance Analysis in Plant Growth Data
Gaurav Agarwal; Ying Sun, King Abdullah University of Science and Technology
8:50 AM
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Scalable Approximations of Marginal Posteriors in Variable Selection
Willem Van Den Boom, Duke University; Galen Reeves, Duke University; David Dunson, Duke University
8:55 AM
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Bayesian Adjustment for Confounding When Estimating Average Causal Effects for Time-To-Event Outcomes
Li Xu; Arnold Stromberg, Department of Statistics, University of Kentucky; Chi Wang, Cancer Biostatistics, University of Kentucky
9:00 AM
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Experiment Design and Analysis for Novel Computer Hardware Testing
Sarah Michalak, Los Alamos National Laboratory; Lisa Moore, Los Alamos National Laboratory; John Daly, University of Maryland; Nathan DeBardeleben, Los Alamos National Laboratory; Gary Delp, Mayo Clinic; Laura Monroe, Los Alamos National Laboratory; Heather Quinn, Los Alamos National Laboratory; James Rose, Mayo Clinic
9:05 AM
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Assessing Variable Importance Nonparametrically Using Machine Learning Techniques
Brian Williamson, University of Washington; Marco Carone, University of Washington Department of Biostatistics; Noah Simon, University of Washington; Peter Gilbert, Fred Hutchinson Cancer Research Center
9:10 AM
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CLASSIFICATION and REGRESSION TREES and FORESTS for INCOMPLETE DATA from SAMPLE SURVEYS
MoonJung Cho, U.S. Bureau of Labor Statistics; Wei-Yin Loh, University of Wisconsin-Madison; Yuanzhi Li, University of Wisconsin-Madison
9:35 AM
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Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension
Wei Qian, Rochester Institute of Technology; Shanshan Ding, University of Delaware; Dennis Cook, University of Minnesota
9:35 AM
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Variable Selection Using Intersection and Average of Random Forests
Faraz Niyaghi, Oregon State University; Sharmodeep Bhattacharyya, Oregon State University; Sarah C Emerson, Oregon State University
9:50 AM
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Variable Selection for High-Dimensional Data via Generalized Penalty
Mingwei Sun, University of Alabama; Pu Patrick Wang, University of Alabama
9:55 AM
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Detection of Treatment Effect After Variable Selection Under Model Misspecification
Jingshen Wang, University of Michigan; Xuming He, University of Michigan
10:05 AM
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Nonparametric Bayes Modeling of Populations of Networks
David Dunson, Duke University
10:35 AM
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Visualizing Mean, Mean Deviation and Standard Deviation of a Continuous Random Variable
Mamunur Rashid, Mathematics Dept. at DePauw University; Jyotirmoy Sarkar, Indiana University-Purdue University Indianapolis
10:35 AM
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Unique Regression Model(S) for Both Symmetric and Asymmetric Regressed Variable(S)
Mian Adnan, Ball State University; Silvey Shamsi, Ball State University; Rahmatullah Imon, Ball State University
10:35 AM
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How to Introduce Management to Bayesian Reliability
Allan T Mense, Raytheon; Alyson Wilson, North Carolina State University; Kassie Fronczyk, Institute for Defense Analyses
10:35 AM
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Instrument Assisted Partial-Linear Single Index Regression for Errors in Variables Models with Binary Response
Qianqian Wang, University of South Carolina; Yanyuan Ma, Penn State University; Guangren Yang, Jinan University; Xia Cui, Zhongshan University
10:50 AM
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Simultaneous Variable Selection and Structural Dimension Estimation in Sufficient Dimension Reduction
Haileab Hilafu, University of Tennessee; Wenbo Wu, University of Oregon
10:55 AM
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Linear Modal Regression with Errors in Variables
Xiang Li, University of South Carolina; Xianzheng Huang, University of South Carolina
11:20 AM
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Comparison of Treatment Regime Estimation Methods Incorporating Variable Selection: Lessons from a Large Simulation Study
Adam Ciarleglio, Columbia; Eva Petkova, New York University School of Medicine; Thaddeus Tarpey, Wright State University; Zhe Su, New York University School of Medicine; R. Todd Ogden, Department of Biostatistics, Columbia University
11:20 AM
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A Semiparametric Latent Trait Model for Multiple Mixed Continuous, Binary and Ordinal Outcomes
Sophie Yu-Pu Chen, University of Michigan; Alex Tsodikov, University of Michigan
11:30 AM
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Statistical Compression of Wind Speed Data
Felipe Tagle, Newcastle University; Stefano Castruccio, Newcastle University; Marc G. Genton, KAUST; Paola Crippa, Newcastle University
11:35 AM
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Efficient Sparse Estimate of Sufficient Dimension Reduction in High Dimension
Wenhui Sheng; Xin Chen, National University of Singapore; Xiangrong Yin, University of Kentucky
11:35 AM
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A Case Study in Adaptive LASSO Logistic Regression: Factors Related to Cyclist Death When Drivers Are Distracted
Lysbeth Floden, University of Arizona; Patrick Anthony O'Connor, University of Arizona; Melanie Bell, University of Arizona
11:40 AM
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Increasing Precision and Removing Conditional Bias by Appropriate Adjustment for Baseline Variables in Randomized Trials
Bingkai Wang, Johns Hopkins Bloomberg SPH; Michael Rosenblum, Johns Hopkins University
11:40 AM
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Instrumental Variables Approaches in Hurdle Data
Jacqueline Mauro, Carnegie Mellon University
11:45 AM
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Deep Learning Econometrics
Guanhao Feng; Nicholas Polson, University of Chicago; Jianeng Xu, University of Chicago
11:50 AM
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Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models
Daniel Apley, Northwestern University
11:50 AM
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Does Environmental Smoking Mediate the Association Between Sleep Quality and Perinatal Depressive Symptoms? a Random Effect Latent Variable Model
Alfred Mbah
12:05 PM
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Teaching Logistic Regression Using Ordinary Least Squares in Excel
Milo Schield, Augsburg College
12:05 PM
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Massive Meta-Analysis with Experiments as Instruments: Applications to Peer Effects in Networks
Dean Eckles, MIT; Alexander Peysakhovich, Facebook
2:05 PM
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Optimal Variable Selection via Sparse Tensor Decomposition
Dong Wang, Princeton University
2:05 PM
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Methods of Biomarker and Subgroup Identification for Personalized Medicine
Ilya Lipkovich, QuintilesIMS; Bohdana Ratitch , QuintilesIMS; Alex Dmitrienko, Mediana Inc
2:05 PM
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A Latent Variable Approach to Elicit Continuous Toxicity Scores and Severity Weights for Multiple Toxicities in Dose-Finding Oncology Trials
Nathaniel O'Connell, Medical University of South Carolina; Elizabeth Garrett-Mayer, Medical University of South Carolina
2:05 PM
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Instrumental Variable Methods for Censored Data
Douglas Lehmann, University of Miami; Yun Li, University of Michigan; Douglas Earl Schaubel, University of Michigan
2:05 PM
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D-Learning to Estimate Optimal Individual Treatment Rules
Zhengling Qi, University of North Carolina, Chapel Hill; Yufeng Liu, University of North Carolina
2:20 PM
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Group Variable Selection with Compositional Covariates
Anna Plantinga, University of Washington; Michael C. Wu, Fred Hutchinson Cancer Research Center
2:20 PM
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Personalizing Early Detection for Alzheimer's Disease: Biomarker Assessment in the Absence of a Gold Standard
Zheyu Wang, Johns Hopkins University; Yanxun Xu, Johns Hopkins University; Marilyn Albert, Johns Hopkins University
2:45 PM
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Variable Selection for High-Dimensional Spatial Regression Models
Abolfazl Safikhani, Columbia University; Tapabrata Maiti, Michigan State University; Chae Young Lim , Seoul National University
2:50 PM
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Sensitivity Analysis and Power in the Presence of Many Weak Instruments with Application to the Effect of Incarceration on Future Earnings
Ashkan Ertefaie, University of Rochester; Dylan Small, University of Pennsylvania
2:50 PM
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Methods for Testing of the Relative Bias of an Instrumental Variable Estimator and Confounder Selection
Byeong Yeob Choi, University of Texas Health Science Center at San Antonio; Jason Fine, University of North Carolina at Chapel Hill; Maurice Alan Brookhart, University of North Carolina at Chapel Hill
3:05 PM
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Unified Methods for Variable Selection in Large-Scale Genomic Studies with Censored Survival Outcomes
Lauren Spirko, Temple University; Karthik Devarajan, Fox Chase Cancer Center
3:05 PM
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Meta-Analysis of Rare Binary Events in Treatment Groups with Unequal Variability
Lie Li; Xinlei Wang, Southern Methodist University
3:05 PM
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Inter-Unit Reliability for Evaluating Dialysis Facilities
Kevin He, University of Michiga; John Kalbfleisch, University of Michigan
3:05 PM
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Robust Network-Based Regularization and Variable Selection for High-Dimensional Genomic Data in Cancer Prognosis
Jie Ren, Department of Statistics, Kansas State University; Yinhao Du, Department of Statistics, Kansas State University; Dewey Molenda, Department of Statistics, Kansas State University; Yu Jiang, School of Public Health, University of Memphis; Wu Cen, Department of Statistics, Kansas State University
3:05 PM
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Variable Selection for Expanding Covariate Space and High-Dimensional Discrete Spatial Data
Abdhi Sarkar, Michigan State University; Chae Young Lim , Seoul National University; Tapabrata Maiti, Michigan State University
3:05 PM
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Variable Selection When Some Data Are Missing
Qi Long, University of Pennsylvania; Brent A. Johnson, University of Rochester
3:20 PM
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Graph Constrained Regularization for Nonparametric Instrumental Variable Regression in Genetical Genomic Analysis
Bin Gao, Janssen Research & Development, LLC; Yuehua Cui, Michigan State University
3:20 PM
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On the Reproducibility of Latent Variables
William Heavlin, Google, Inc.
3:20 PM
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Tuesday, 08/01/2017
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Exponentiated Generalized Pareto Distribution: Properties and Applications Towards Extreme Value Theory
Se Yoon Lee, Texas A&M University; Joseph H. T. Kim, Yonsei University
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A Bayesian Approach for Instrumental Variable Analysis
Samrachana Adhikari, Harvard Medical School; Sharon-Lise Normand, Harvard Medical School
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Testing HWE on Controls: Is it Justifiable?
Virginia Ma, Columbus Academy
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Longer Telomere Length Is Associated with Hypertension in African American Women: THE MH-GRID STUDY
Ruihua Xu, National Institutes of Health; Sharon Davis, National Human Genome Research Institute; Amadou Gaye, National Human Genome Research Institute; Samson Gebreab, National Human Genome Research Institute; Rumana J. Khan, National Human Genome Research Institute; Pia Riestra, National Human Genome Research Institute; Amadi V. Gibbons, National Human Genome Research Institute; Rakale Quarrels, Morehouse School of Medicine; Gary H. Gibbons, National Human Genome Research Institute
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A Revisit to Nonlocal Method in High-Dimensional Subset Modeling
Ho-Hsiang Wu, National Cancer Institute, NIH; Yuanyuan Bian, University of Missouri
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Multivariate Functional Data Clustering with Automatic Variable Selection
Zhongnan Jin; Yili Hong, Virginia Tech; Qingyu Yang, Department of Industrial and Systems Engineering Wayne State University
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Variable Selection on Functional Data Using Kernel Machine
Haoyu Wang, North Carolina State University
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A Principal Stratification Approach to Evaluate the Causal Effect of A Patient Activation Intervention For Bone Health Outcomes
YIYUE LOU, University of Iowa; Michael P. Jones, University of Iowa; Stephanie W. Edmonds, University of Iowa; Fredric D. Wolinsky , University of Iowa; Peter Cram, University of Iowa
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Bayesian Models for Automatic Landmark Detection on Elastic Curves
Justin Strait, Department of Statistics, The Ohio State University; Oksana A Chkrebtii, The Ohio State University; Sebastian Kurtek, The Ohio State University
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A Bayesian Approach for the Segmentation of Series Corrupted by a Functional Part
Cristian Meza, CIMFAV-Universidad de Valparaíso; Meili Baragatti, SupAgro-INRA; Karine Bertin, CIMFAV-Universidad de Valparaíso; Emilie Lebarbier, AgroParisTech
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Modeling Transcranial Magnetic Stimulation-Driven Stimulus-Response Curves
Caitlin I. Steiner, Department of Statistics, University of Virginia; Sahana N. Kukke, Department of Biomedical Engineering, The Catholic University of America; Nivethida Thirugnanasambandam, Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological ; Mark Hallett, Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological ; Daniel M. Keenan, Department of Statistics, University of Virginia
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Dynamic Posterior Exploration for Simultaneous Variable and Covariance Selection with Spike and Slab Priors
Sameer Kirtikumar Deshpande, The Wharton School; Veronika Rockova, University of Chicago; Edward I. George, Wharton, University of Pennsylvania
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Clustering and Selecting Dysmorphic Features for Association with Developmental Disabilities
Lin Tian, CDC; Nicole F. Dowling, CDC; Stuart K. Shapira, CDC
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Tuning Variable Selection via Noise When Prediction Is Not the Primary Objective
Eric Reyes, Rose-Hulman Institute of Technology; Xiaomo Wang, Rose-Hulman Institute of Technology
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A Simulation Study to Evaluate Variable Importance Measures in Random and Conditional Inference Forests with Imputation for Data with Missing and Correlated Predictors
Hung-Wen Yeh; Rayus Kuplicki, Laureate Institute for Brain Research; Trang Le, University of Tulsa; Martin P. Paulus, Laureate Institute for Brain Research
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Borrowing Strength from Nearest Neighbors to Improve Small Area Estimates of Diabetes Prevalence
Hui Xie, CDC; Deborah B. Rolka, CDC; Ji lin, CDC; Meera Srinivasan, CDC
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Geographic Patterns of Diabetes Prevalence in the United States, NHIS (2006 - 2012)
Diba Khan, CDC; Rong Wei, NCHS / CDC; Yulei He, National Center for Health Statistics; HeeChoon Shin, CDC
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Joint Nonparametric Correction Estimator for Excess Relative Risk Regression in Survival Analysis with Exposure Measurement Error
Ching-Yun Wang, Fred Hutchinson Cancer Research Center; Harry Cullings, Radiation Effects Research Foundation; Xiao Song, University of Georgia; Kenneth J. Kopecky, Fred Hutchinson Cancer Research Center
8:35 AM
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Inference in an Instrumental Variables Model with Heterogeneous Treatment Effects and Many Instruments
Michal Kolesar, Princeton University; Kirill Evdokimov, Princeton University
8:35 AM
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Three Principles for Data Science: Predictability, Stability and Computability
Bin Yu, University of California, Berkeley
8:35 AM
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Supervised Dimension Reduction with Application to Driver Gene Detection
Yichen Cheng
8:35 AM
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Evaluating the Effect of Weighting Adjustments on HIV Prevalence Estimates in Three Population-Based HIV Impact Assessments Surveys
Tien-Huan Lin, Westat; Natalia Weil, Westat; Ismael Flores Cervantes, Westat; Suzue Saito, ICAP at Columbia University
8:50 AM
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High-Dimensional Mediation Analysis with Latent Factors
Andriy Derkach, NIH-National Cancer Institute; Ting-Huei Chen, Université Laval; Joshua Sampson, National Cancer Institute; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
8:50 AM
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Bayesian Variance Selection in Analysis of Species Distribution
Jing Zhang, Miami University; Baini Li, Miami University; Thomas Crist, Miami University
8:50 AM
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A Principal Stratification Approach to Evaluate the Causal Effect of A Patient Activation Intervention For Bone Health Outcomes
YIYUE LOU, University of Iowa; Michael P. Jones, University of Iowa; Stephanie W. Edmonds, University of Iowa; Fredric D. Wolinsky , University of Iowa; Peter Cram, University of Iowa
8:55 AM
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Predicting Travel Time Reliability Using Mobile Phone GPS Data
Dawn Woodard, Uber Technologies, Inc.
9:35 AM
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Honest inference for marginal treatment effects using penalised bias-reduced double-robust estimation
Vahe Avagyan, Universiteit Gent-Vakgroep Toegepaste W & I; Stijn Vansteelandt, Ghent University
9:35 AM
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Spatial-Temporal Modeling of Heavy Tailed Data
Gabriel Huerta, University of New Mexico
9:35 AM
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Clustering and Selecting Dysmorphic Features for Association with Developmental Disabilities
Lin Tian, CDC; Nicole F. Dowling, CDC; Stuart K. Shapira, CDC
9:40 AM
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Borrowing Strength from Nearest Neighbors to Improve Small Area Estimates of Diabetes Prevalence
Hui Xie, CDC; Deborah B. Rolka, CDC; Ji lin, CDC; Meera Srinivasan, CDC
10:05 AM
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Sequential Co-Sparse Factor Regression
Aditya Mishra, University of Connecticut; Kun Chen, Department of Statistics, University of Connecticut; Dipak K Dey, university of connecticut
10:05 AM
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Multinomial Goodness-of-Fit Statistics When the Number of Variables Is Large
Maduranga Dassanayake, Arizona State University; Mark Reiser, Arizona State University
10:05 AM
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Bayesian Neural Networks for High-Dimensional Nonlinear Variable Selection
Faming Liang, University of Florida
10:35 AM
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Inferring Causal Effects with Invalid Instruments in Mendelian Randomization
Hyunseung Kang, Economics, Stanford Graduate School of Business, Stanford University
10:35 AM
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Bayesian Models for Automatic Landmark Detection on Elastic Curves
Justin Strait, Department of Statistics, The Ohio State University; Oksana A Chkrebtii, The Ohio State University; Sebastian Kurtek, The Ohio State University
10:35 AM
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Overlapping clustering with LOVE
Florentina Bunea, Cornell
10:35 AM
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Variable Selection on Functional Data Using Kernel Machine
Haoyu Wang, North Carolina State University
10:40 AM
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A Bayesian Approach for the Segmentation of Series Corrupted by a Functional Part
Cristian Meza, CIMFAV-Universidad de Valparaíso; Meili Baragatti, SupAgro-INRA; Karine Bertin, CIMFAV-Universidad de Valparaíso; Emilie Lebarbier, AgroParisTech
10:45 AM
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Harnessing Diverse Data from a Healthcare Systems Network for Early Identification of Pediatric Diabetes
Rebecca Hubbard, University of Pennsylvania; Grace Choi, University of Pennsylvania; Arman Oganisian, University of Pennsylvania; Yong Chen, University of Pennsylvania; Jing Huang, University of Pennsylvania
10:55 AM
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Nonparametric Variable Screening and Preselection for Functional Data with Application to Time Course Gene Expression Profiles
Jan Gertheiss, Clausthal University of Technology
10:55 AM
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Modeling Transcranial Magnetic Stimulation-Driven Stimulus-Response Curves
Caitlin I. Steiner, Department of Statistics, University of Virginia; Sahana N. Kukke, Department of Biomedical Engineering, The Catholic University of America; Nivethida Thirugnanasambandam, Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological ; Mark Hallett, Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological ; Daniel M. Keenan, Department of Statistics, University of Virginia
11:05 AM
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Tuning Variable Selection via Noise When Prediction Is Not the Primary Objective
Eric Reyes, Rose-Hulman Institute of Technology; Xiaomo Wang, Rose-Hulman Institute of Technology
11:10 AM
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A Bayesian Mixed-Effects Model for Microbiome Data from Designed Experiments
Neal Grantham, North Carolina State University; Brian Reich, NCSU; Kevin Gross, North Carolina State University
11:15 AM
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A Simulation Study to Evaluate Variable Importance Measures in Random and Conditional Inference Forests with Imputation for Data with Missing and Correlated Predictors
Hung-Wen Yeh; Rayus Kuplicki, Laureate Institute for Brain Research; Trang Le, University of Tulsa; Martin P. Paulus, Laureate Institute for Brain Research
11:15 AM
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Gene Expression Variability and the Analysis of Large-Scale RNA-Seq Studies with the MDSeq
Z. John Daye, None; Di Ran, University of Arizona
11:20 AM
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Multivariate Functional Data Clustering with Automatic Variable Selection
Zhongnan Jin; Yili Hong, Virginia Tech; Qingyu Yang, Department of Industrial and Systems Engineering Wayne State University
11:45 AM
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MIXING CONVERGENCE RATES of RENEWAL and FIRST PASSAGE TIMES PROCESSES
Ningning Wang; Jordan Crabbe, University of Cincinnati
11:50 AM
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Dynamic Posterior Exploration for Simultaneous Variable and Covariance Selection with Spike and Slab Priors
Sameer Kirtikumar Deshpande, The Wharton School; Veronika Rockova, University of Chicago; Edward I. George, Wharton, University of Pennsylvania
11:55 AM
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Local Variable Selection in Sequential Optimization
Munir Winkel, North Carolina State University; Brian Reich, NCSU; Jonathan W. Stallings, North Carolina State University
2:05 PM
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Small Area/Domain Estimation Assuming One Auxiliary Variable, Equal Unit Error Variances and Post-Stratification
Prabhakar Ghangurde, Consultant
2:20 PM
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Missing Data and Technical Variability in Single-Cell RNA-Sequencing Experiments
Stephanie Hicks, Dana-Farber Cancer Institute/Harvard T.H. Chan School of Public Health; Mingxiang Teng, Dana-Farber Cancer Institute/Harvard T.H. Chan School of Public Health; F. William Townes, Harvard T.H. Chan School of Public Health; Rafael Irizarry, Harvard School of Public Health
2:20 PM
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Simple Regression Model Using Shape Predictors
Kyungmin Ahn; Wei Wu, Florida State University; Anuj Srivastava, Florida State University
2:20 PM
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Multivariate Small Area Estimation of Multidimensional Latent Economic Wellbeing Indicators
Angelo Moretti, University of Manchester; Natalie Shlomo, University of Manchester; Joseph Sakshaug, The University of Manchester
2:35 PM
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Bivariate Association in Respondent-Driven Sampling Data
Dongah Kim, University of Massachusetts, Amherst; Krista Gile, University of Massachusetts; Honoria Guarino , National Development and Research Institutes, Inc.; Pedro Mateu Gelabert, National Development and Research Institutes, Inc.
2:35 PM
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Application of the Tripartite Estimands in a Diabetes Clinical Trial
Junxiang Luo, Eli Lilly and Company; Yongming Qu, Eli Lilly and Company; Stephen J Ruberg, Eli Lilly and Co
2:45 PM
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A Multicollinearity-Adjusted Adaptive LASSO for Zero-Infated Count Regression
Prithish Banerjee, Wayne State University School of Medicine; Broti Garai, West Virginia University; Shrabanti Chowdhury, Wayne State University; Himel Mallick, Harvard University
2:45 PM
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Iteratively Adjusted Surrogate Variable Analysis (IA-SVA) Uncovers Hidden Heterogeneity in Bulk and Single Cell Transcriptomic Data
Donghyung Lee
2:50 PM
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An IAB Taxonomy-Based Classifier for Categorizing High Volume Noisy Data of User Generated URLs
Zainab Jamal, Guavus Inc; Peng Wang, Guavus; Roger Brooks, Guavus; Prateek Jain, Guavus; Mudit Jain, Guavus; Kuldeep Jiwani, Guavus; Karun Arora, Guavus; Nisha Vashist, Guavus; Sahil Jain, Guavus; Shipra Kapadia, Guavus
2:50 PM
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A Bayesian Variable Selection Approach Yields Improved Brain Activation from Complex-Valued fMRI
Cheng-Han Yu, UC Santa Cruz; Raquel Prado, UC Santa Cruz; Hernando Ombao, KAUST and UC Irvine; Daniel B. Rowe, Marquette University
3:05 PM
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Identifiability and Inference of Causal Effects with High-Dimensional and Invalid Instruments
Changjing Wu, Peking University; Minghua Deng, Peking University; Wei Lin, Peking University
3:20 PM
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Hypothesis Testing for Simultaneous Variable Clustering and Correlation Network Estimation, with Application to Gene Co-Expression Networks
Kevin Lin, Carnegie Mellon University, Statistics Department; Junwei Lu, Princeton University; Han Liu, Princeton University; Kathryn Roeder, Carnegie Mellon University
3:20 PM
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Impact of Dependency on the Distribution of P-Value
Marie Ernst, University of Liege; Yvik Swan, University of Liege
3:35 PM
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Causal Models for Numerical Variables in Media Planning
Igor Mandel, Telmar Inc.
3:35 PM
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Wednesday, 08/02/2017
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Variable Selection And Nonlinear Effect Discovery in Partially Linear Mixture Cure Rate Models
Abdullah Masud, AbbVie
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Agents of Change: a Spatial Multivariate Bayesian Test to Identify Factors That Shape a Microbiome
Susheela Singh, North Carolina State University; Brian Reich, NCSU; Eric Laber, North Carolina State University; Ana-Maria Staicu, North Carolina State University, Department of Statistics; Robert Dunn, North Carolina State University
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Reliability Assessment of Multiple Component Systems Using Bayesian Hierarchical Models
James Gilman, NC State University; Alyson Wilson, North Carolina State University; Kassie Fronczyk, Institute for Defense Analyses
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On Sums of Independent Generalized Pareto Random Variables with Applications to Insurance and CAT Bonds
Yuanyuan Zhang, University of Manchester
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A Hierarchical Bayesian Approach to Modeling Lifetime Data
Colin Lewis-Beck; Eric Mittman, Iowa State University
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Estimation of Component's Reliability for Masked Data Complex Systems
Agatha Rodrigues; Adriano Polpo, Universidade Federal de São Carlos; Carlos Alberto de Bragança Pereira, Universidade de São Paulo
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High Dimensional Bayesian Optimization with both Continuous and Categorical Explanatory Variables
Nima Dolatnia; Alan Fern, Oregon State University; Sarah Emerson, Oregon State University
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Bayesian Variable Selection for Multi-Layer Overlapping Group Structure with Applications to Multi-Level Omics Data Integration
George Tseng, University of Pittsburgh; Li Zhu, University of Pittsburgh
8:35 AM
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SUFFICIENT WEIGHTED BOOTSTRAPPING
Khairul Islam, Eastern Michigan University; Sarjinder Singh, Texas A&M University-Kingsville
9:05 AM
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Statistical Methodology for Measuring Diversity and Variability in Qualitative Variables
Sujay Datta, University of Akron
9:05 AM
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High Dimensional Bayesian Optimization with both Continuous and Categorical Explanatory Variables
Nima Dolatnia; Alan Fern, Oregon State University; Sarah Emerson, Oregon State University
9:15 AM
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Robust Subjective Bayesian Hypothesis Testing by Calibrating Prior Probabilities
Dan Spitzner, University of Virginia
9:35 AM
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Building Quantitative Structure?Activity Relationship Models Using Bayesian Additive Regression Trees
Dai Feng, Merck; Matthew Pratola, The Ohio State University; Robert McCulloch, Arizona State University; Vladimir Svetnik, Merck & Co., Inc.
9:50 AM
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Students' Conceptions and Misconceptions in Judging Variability in Various Graph Types That Use Bars
Linda Cooper, Towson University
10:05 AM
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Replication or exploration? Sequential design for stochastic simulation experiments.
Robert Gramacy, Virginia Tech Department of Statistics; Bickael Binois, The University of Chicago; Mike Ludkovski, University of California, Santa Barbara
10:35 AM
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Mendelian randomization for survival outcomes using semiparametric transformation models
Yen-Tsung Huang, Academia Sinica
10:35 AM
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Empirical Likelihood Inference for Complex Surveys and the Design-Based Oracle Variable Selection Theory
Changbao Wu, University of Waterloo; Puying Zhao, University of Waterloo; David Haziza, University of Montreal
10:35 AM
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Sparse Concordance-Assisted Learning for Optimal Treatment Decision
Shuhan Liang, North Carolina State University; Wenbin Lu, North Carolina State University; Rui Song, NC State University; Lan Wang, University of Minnesota
10:35 AM
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Model Selection in Latent Class Analysis
Zhaoyin Zhu, NYU; Yongzhao Shao, New York University School of Medicine
10:50 AM
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Covariate Assisted Variable Ranking
Zheng Ke, University of Chicago
11:00 AM
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Discriminative Power and Variable Selection in Logistic Regression Models under Outcome Misspecification
Jia Bao, NYU Langone Medical Center; Yongzhao Shao, New York University-School of Medicine
11:05 AM
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Discovering Non-Genetic Hidden Variates in Gene Expression Data in the Presence of Polygenicity
Mark Abney
11:05 AM
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Construction and Assessment of Generalized Variance Functions for an Establishment Survey
Kevin Roche, U.S. Bureau of Labor Statistics; Julie Gershunskaya, U.S. Bureau of Labor Statistics
11:15 AM
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Variable Selection for highly correlated predictors
Fei Xue, University of Illinois at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
11:20 AM
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Properties of Data-Dependent Variable Selection Methods
Sen Tian, New York University, Stern School of Business; Clifford M. Hurvich, New York University, Stern School of Business; Jeffrey S. Simonoff, New York University, Stern School of Business
11:20 AM
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Optimal Designs for Binary Response Models with Multiple Nonnegative Variables
Mong-Na Lo Huang, National Sun Yat-Sen Univ; Shih-Hao Huang, National Sun Yat-sen University; Cheng-Wei Lin, National Sun Yat-sen University
11:20 AM
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Variable Selection for Massive Data Using the Divide And
Lei Yang, New York University; Yixin Fang, New Jersey Institute of Technology; Junhui Wang, CityU; Yongzhao Shao, New York University-School of Medicine
11:35 AM
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Optimal variable selection and noisy adaptive compressed sensing
Mohamed Ndaoud, CREST-ENSAE, École Polytechnique; A.B. Tsybakov, CREST-ENSAE
11:50 AM
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Bayesian Variable Selection Over Large Scale Networks via the Thresholded Graph Laplacian Gaussian Prior with Application to Genomics
Qingpo Cai, Emory University-Rollins School of Public Health; Jian Kang, University of Michigan; Tianwei Yu, Emory University
11:55 AM
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Multidimensional Indices of Health Disparities Among Adults Aged 45-64 in the 20 Most Populous States in the United States: Results from the National Health Interview Survey
Makram Talih, National Center for Health Statistics; Maria A Villarroel, National Center for Health Statistics
11:55 AM
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Variable Selection for a Mixture of Linear Mixed Effects Models
Yian Zhang, New York University; Lei Yang, New York University; Yongzhao Shao, New York University-School of Medicine
12:05 PM
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Deformation Model Transfer via Equivalent Effects of Lurking Variables in Additive Manufacturing
Arman Sabbaghi, Purdue University; Qiang Huang, University of Southern California
2:05 PM
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Multivariate Fay-Herriot Bayesian Estimation of Small Area Means Under Functional Measurement Error
Carolina Franco, U.S. Census Bureau; William Bell, U.S. Census Bureau; Serena Arima, Sapienza University, Rome; Brunero Liseo, Sapienza University, Rome; Gauri Datta, University of Georgia and US Census Bureau
2:05 PM
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A Bayesian Methodology for High-Dimensional Discrete Graphical Models with an Application to Protein Structure Prediction
Anwesha Bhattacharyya; Yves Atchade, University of Michigan
2:20 PM
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Sequential BART for Imputation of Missing Covariates in the Presence of Auxiliary Covariates
Dandan Xu, The University of Texas at Austin; Michael J Daniels, University of Texas at Austin
2:25 PM
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Robust Causal Inference with Continuous Instruments Using the Local Instrumental Variable Curve
Edward H Kennedy, Carnegie Mellon University; Dylan Small, University of Pennsylvania
2:25 PM
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Post-Model Selection Estimation for Regression Models with Spatial Autoregressive Errors
Tapabrata Maiti, Michigan State University; Liqian Cai, Liberty Mutual
2:35 PM
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Variable Selection in K-Means Clustering
Nicholas Scott Berry, Iowa State University; Ranjan Maitra, Iowa State University
2:35 PM
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Assessing the Size and Significance of Provider Variability in Payment Bundles
Peter Bouman, IBM
2:45 PM
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Conditional Adaptive Bayesian Spectral Analysis of Nonstationary Biomedical Time Series
Scott Bruce, Department of Statistical Science, Temple University; Martica H Hall, University of Pittsburgh; Daniel J Buysse, Department of Psychiatry, University of Pittsburgh; Robert T Krafty, Department of Biostatistics, University of Pittsburgh
2:50 PM
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A Mixed Variance Component Model for Quantifying the Elasticity Modulus of Nanomaterials
Xinwei Deng, Virgiania Tech; Angang Zhang, Virgiania Tech
2:55 PM
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Network Classification with Applications to Brain Connectomics
Jesus Daniel Arroyo Relion; Daniel Kessler, University of Michigan; Liza Levina, University of Michigan; Stephan F. Taylor, University of Michigan
3:20 PM
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Variable Selection for the Dynamic Logistic Regression Model
Jordan Bakerman, North Carolina State University; Karl Pazdernik, North Carolina State University; Alyson Wilson, North Carolina State University
3:25 PM
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Thursday, 08/03/2017
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The Kumaraswamy Transmuted Pareto Distribution
Sher Chhetri, Florida Atlantic University; Alfred Akinsete, Marshall University; Gokarna Aryal, Purdue University Northwest ; Hongwei Long, Florida Atlantic University
8:35 AM
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On Testing Conditional Qualitative Treatment Effects
Chengchun Shi, North Carolina State University; Wenbin Lu, North Carolina State University; Rui Song, NC State University
8:35 AM
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Variable Selection in Bayesian Kernel Machine Models and Its Applications
Sounak Chakraborty, University of Missouri, Columbia
8:35 AM
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Bayesian Variable Selection for High-Dimensional Genomic Data with Survival Response
Amir Nikooienejad, Texas A&M University; Valen Johnson, Texas A&M University
8:50 AM
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Instrumental Variable Restrictive Mean Survival Time Models
Xin Wang, University of Michigan; Douglas Earl Schaubel, University of Michigan
8:50 AM
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Estimation from Purposive Samples with the Aid of Probability Supplements but Without Data on the Study Variable
Avinash Singh, American Institutes for Research; Vladislav Beresovsky, National Center for Health Statistics; Cong Ye, American Institutes for Reserach
8:50 AM
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John Cornell: Everything Mixtures from Gasoline to Fish Patties
Ronald D Snee, Snee Associates, LLC
8:55 AM
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Variable Selection for Case-Cohort Studies with Failure Time Outcome
Jianwen Cai, University of North Carolina at Chapel Hill; Ai Ni, Memorial Sloan Kettering Cancer Center; Donglin Zeng, University of North Carolina
8:55 AM
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Granger Causality Networks for Categorical Time Series: Convex Mixture Transition Distribution
Alex Tank, University of Washington; Ali Shojaie, University of Washington; Emily Fox, University of Washington
9:00 AM
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Combining Subsystem and Full System Data with Application to Cold-Formed Steel Shear Wall
Guanbo Bian, Johns Hopkins University; Long Wang, Johns Hopkins University; Benjamin Schafer, Johns Hopkins University; James C Spall, Applied Physics Laboratory
9:05 AM
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Within-Strata vs. Full-range Predictor Variable Multiple Imputation Procedures for Cox Models
Philimon Gona, University of Massachusetts Boston; Vasco Chikwasha, University of Zimbabwe College of Health Sciences; Sowmya R Rao, Boston University
9:05 AM
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Bayesian Variable Selection for Linear Regression Models with Non-Normal Error Distributions
Joyee Ghosh, University of Iowa
9:05 AM
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Bounded, Efficient and Triply Robust Estimation of Average Treatment Effects Using Instrumental Variables
Linbo Wang, University of Washington; Eric Tchetgen Tchetgen, Harvard University
9:05 AM
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Integrated Powered Density: Screening Utrahigh-Dimensional Covariates with Survival Outcomes
Hyokyoung (Grace) Hong, Michigan State University; Yi Li, University of Michigan; Xuerong Chen, Southwest University of Finance and Economics
9:15 AM
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Statistial Learning in Gender Classification for Facial Images
Cuixian Chen, University of North Carolina, Wilmington; Yishi Wang, University of North Carolina Wilmington
9:20 AM
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Bayesian analysis of sparse counts under the unrelated question design
Balgobin Nandram, Worcester Polytechnic Institute
9:35 AM
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Maximum Likelihood-Based Regression with a Continuous Exposure Variable Assessed in Pools and Subject to Measurement and Processing Errors
Dane Van Domelen, Rollins School of Public Health, Emory University; Emily Mitchell, Agency for Healthcare Research and Quality; Amita Manatunga, Emory University; Robert H Lyles, Rollins School of Public Health, Emory University; Enrique F Schisterman, Eunice Kennedy Shriver National Institute of Child Health and Human Development
9:35 AM
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Sensitivity Analyzes for Causal Moderation Models for Zero-Inflated Data
Robert Gallop; Paul Crits-Christoph, University of Pennsylvania
9:35 AM
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COMPLEX SURVEY DESIGNS for SIMULTANEOUS ESTIMATION of TOTALS of TWO SENSITIVE VARIABLES
Segun Ahmed, Texas A & M University-Kingsville; Sarjinder Singh, Texas A&M University-Kingsville; Stephen A. Sedory, Texas A&M University-Kingsville
9:35 AM
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Bayesian Sparse Multiple Regression for Simultaneous Rank Reduction and Variable Selection
Antik Chakraborty, Texas A&M University; Anirban Bhattacharya, Texas A&M University; Bani K. Mallick, Texas A&M University
9:35 AM
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Comparison of Variable Selection Methods on a National Survey of Drug Use and Health
Georgiy Bobashev, RTI International; Li-Tzy Wu, Duke University
9:35 AM
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Variable Selection and Estimation in Causal Inference Using a Bayesian Group Lasso Approach
Brandon Koch, University of Minnesota, Division of Biostatistics; Julian Wolfson, University of Minnesota, Division of Biostatistics; David Vock, University of Minnesota
9:50 AM
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Variable Selection for Portfolio Choice
Jin Liu, Peking University
10:05 AM
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Modeling and Simulation to Detect Unusual Patterns in Genotoxicity Data (Microbial Assays)
Elena Rantou, FDA/CDER
10:35 AM
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Using Lasso Regression for the Selection of Matching Variables to Analyze Crash Risk in SHRP 2 Data for a Case-Control Setting
Huizhong Guo; Linda Ng Boyle, University of Washington
10:35 AM
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Ernest Seglie's Many Contributions to the Use of Statistics in Operational Test
Michael Lee Cohen, Committee on National Statistics
10:35 AM
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A Latent Trait Clustering Method for Mixed-Mode Data
Yawei Liang, University of South Carolina; David Hitchcock, University of South Carolina
10:50 AM
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Bayesian Lasso for GWAS
LiJin Joo, New York University; Cheongeun Oh, New York University
11:20 AM
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Sparse Pairwise Likelihood Estimation for Multivariate Longitudinal Mixed Models
Samuel Mueller, University of Sydney; Alan H Welsh, The Australian National University; Francis KC Hui, The Australian National University
11:50 AM
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A New Class of Measures for Testing Independence
Xiangrong Yin, University of Kentucky; Qingcong Yuan, University of Kentucky
11:50 AM
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