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: missing returned 112 record(s)
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Sunday, 07/30/2017
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Matrix Completion with Covariate Information
Xiaojun Mao, Iowa State University; Song Xi Chen, Iowa State University; Raymond Wong, Iowa State University
2:20 PM
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Model Validation and Influence Diagnostics for Regression Models with Missing Covariates
Paul Bernhardt, Villanova University
2:20 PM
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Investigating Multiple Imputation in Cluster Randomized Trials
Brittney Bailey, The Ohio State University; Rebecca Andridge, Ohio State University; Abigail Shoben, The Ohio State University
2:35 PM
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A Wavelet Lifting Approach to Long Memory Estimation
Matthew Nunes, Lancaster University; Marina Knight, University of York; Guy Nason, University of Bristol
2:45 PM
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Missing Data in Canonical Correlation Analysis
Emily Slade; Brent Coull, Harvard T.H. Chan School of Public Health; Peter Kraft, Harvard University
4:50 PM
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Monday, 07/31/2017
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An Evaluation of Multiple Imputation Methods for Hierarchical Data
Takayuki Abe, Keio University School of Medicine; Manabu Iwasaki, Seikei University
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Efficient Algorithm for Multiple Imputation of Missing Health Outcomes
Chris Liu, University of Michigan-School of Nursing
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Accounting for Data Collection Mode in Hot Deck Imputation
Jiantong Wang, RTI International; Peter Frechtel, RTI International; Amang Sukasih, RTI International; David Kinyon, U.S. Energy Information Administration
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Evaluating the Impact of Imputation on RECs Data
Sarrynna Sou, RTI International; Peter Frechtel, RTI International; Amang Sukasih, RTI International; Katie Lewis, U.S. Energy Information Administration; James Berry, U.S. Energy Information Administration; Victoria Scott, RTI International
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SYSTEMATIC REVIEW of MISSING DATA HANDLING in NON-INFERIORITY TRIALS
Brooke Rabe, University of Arizona; Mallorie Fiero, U.S. Food and Drug Administration; Melanie Bell, University of Arizona
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A Modified LOCF-PMM Method with Multiple Imputation for Handling Missing Data in Longitudinal Studies
Busola Sanusi, The University of North Carolina at Chapel Hill; Kenneth Liu, Merck & Co.; Gregory Golm, Merck & Co., Inc.
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Impact of Missing Data in Feature Selection
Carmen Khoo
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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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Multiply Robust Nonparametric Multiple Imputation for the Treatment of Missing Data
Sixia Chen; David Haziza, University of Montreal
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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Generalized Accelerated Recurrence Time Model for Multivariate Recurrent Event Data with Missing Event Type
Huijuan Ma; Limin Peng, Emory University; Zhumin Zhang, University of Wisconsin-Madison; HuiChuan J. Lai, University of Wisconsin-Madison
8:35 AM
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A Multiple Imputation Method Based on Bayesian Quantile Regression Model for Handling Intermittent Missing Data
MinJae Lee, The University of Texas Health Science Center at Houston; Mohammad Rahbar, University of Texas Health Science Center at Houston; John Reveille, The University of Texas Health Science Center at Houston; Michael Weisman , Cedars-Sinai Medical Center; Michael Ward, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)/NIH; Lianne Gensler, University of California, San Francisco; Matthew Brown, Queensland University of Technology
9:05 AM
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Semiparametric Estimation of Longitudinal Data with Nonignorable Attrition Using Refreshment Samples
Lan Xue, Oregon State University; Jianfei Zheng, Oregon State University
9:15 AM
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Generalized Meta-Analysis: Towards an Unified Paradigm for Model Building Through Integration of Disparate Data Sources
Nilanjan Chatterjee, Johns Hopkins University; Runlong Tang, Johns Hopkins University; Prosenjit Kundu, Johns Hopkins University
10:35 AM
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On Sufficient Dimension Reduction with Missing Responses Through Estimating Equations
Yuexiao Dong, Temple University; Qi Xia, Temple University; Chengyong Tang, Temple University
10:35 AM
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A Comparison of Some Bootstrap Methods for Mixed Model Analysis of Non-Normal Longitudinal Data
Mark Reiser, Arizona State University
10:35 AM
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Streaming Matrix Completion with Automated Rank Selection
Milo Page, JMP/NCSU; Christopher M Gotwalt, JMP; Alyson Wilson, North Carolina State University
10:50 AM
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Risk Prediction from the Combination of Longitudinal Biomarkers Subject to Informative Missingness
Jiwei Zhao, State University of New York at Buffalo
10:55 AM
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Handling Missing Data in Self-Exciting Temporal Point Processes
James Tucker, Sandia National Laboratories; John Lewis, Sandia National Laboratories; Kathy Simonson, Sandia National Laboratories; Johnanthan Lane, Sandia National Laboratories
11:20 AM
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Expression Recovery in Single Cell RNA Sequencing
Mo R Huang, University of Pennsylvania; Mingyao R Li, University of Pennsylvania; Nancy Ruonan Zhang, Wharton School , University of Pennsylvania
11:50 AM
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Functional Classification with Missing Data
Crystal Shaw, CSU Northridge; Majid Mojirsheibani, CSU Northridge
11:50 AM
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An Embedded Experiment for Targeted Nonresponse Follow-Up in Establishment Surveys
Stephen Kaputa, U.S. Census Bureau; Katherine Thompson, U.S. Census Bureau; Jennifer Beck, National Science Foundation
11:50 AM
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PCORI: Advancing Methods for Analyzing Electronic Health Records Data
David H. Hickam, Patient Centered Outcomes Research Institute
2:05 PM
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The Role of Intermediate Observations When Outcome Data Are Missing in Longitudinal Randomized Clinical Trials
Joseph Rausch, Nationwide Children's Hospital
2:05 PM
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A Missing Technique for Estimating Univariate Multiple Missing Values-An Advanced Re-sampling Method for Correlated Observations
Silvia Sharna, Ball State University; Mian Adnan, Ball State University; Rahmatullah Imon, Ball State University
2:50 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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Functional Regression Models for Nonignorable Missing Scalar Responses
Hongtu Zhu, The University of Texas MD Anderson Cancer Center; Tengfei Li, MD Anderson
3:20 PM
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Tuesday, 08/01/2017
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Medicare Risk Adjustment with Systematically Missing Data
Savannah Bergquist, Harvard University; Tim Layton, Harvard Medical School; Thomas G. McGuire, Harvard Medical School; Sherri Rose, Harvard Medical School
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A Bayesian Model for Integrating High-Throughput Multi-Omics Data with Missingness Handling
Zhou Fang, Department of Biostatistics, University of Pittsburgh; Tianzhou Ma, Department of Biostatistics, University of Pittsburgh; Li Zhu, University of Pittsburgh; George Tseng, University of Pittsburgh; Qi Yan, Division of Pulmonary Medicine, Allergy and Immunology, Children's Hospital of Pittsburgh ; Wei Chen, University of Pittsburgh
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A Simulation Study to Evaluate How Sample Weight Adjustment for the National Health and Nutrition Examination Survey (NHANES) Affects Nonresponse Bias
Te-Ching Chen, NCHS; Jennifer Parker, National Center for Health Statistics; Tala Fakhouri, NCHS
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Discussing Missing Data Issues for Two-Mode Social Network Analysis Based on Influence Model
Tingqiao Chen
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Placebo-Based Multiple Imputation Methods for Sensitivity Analysis in Recurrent Event Data
Rui Yang, Chiltern International Inc
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Missing Data Imputation Strategies for Different Estimands in Clinical Trials
Ye Tan, Pfizer; Steven Gilbert, Pfizer Inc.
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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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Accounting for Baseline Covariates and Missing Data in Regulatory Trials with Longitudinal Designs
Elizabeth Colantuoni, Johns Hopkins University; Jon Steingrimsson, Johns Hopkins University; Aidan McDermott, Johns Hopkins University; Michael Rosenblum, Johns Hopkins University
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Infinite Mixture of Multinomial Distribution Approximation for Incomplete Categorical Data
Chaojie Wang, The Chinese Univ of Hong Kong
8:35 AM
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Accounting for Baseline Covariates and Missing Data in Regulatory Trials with Longitudinal Designs
Elizabeth Colantuoni, Johns Hopkins University; Jon Steingrimsson, Johns Hopkins University; Aidan McDermott, Johns Hopkins University; Michael Rosenblum, Johns Hopkins University
8:45 AM
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Sparse Principal Component Analysis with Missing Observations
Seyoung Park; Hongyu Zhao, Yale University
8:50 AM
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Bayesian sparse propensity score estimation for unit nonresponse
Hejian Sang, Iowa State University; Jae-kwang Kim, Iowa State University; Gyuhyeong Goh, Kansas State University
9:20 AM
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Joint Modeling of Longitudinal and Survival Data with a Covariate Subject to a Limit of Detection
Abdus Sattar, Case Western Reserve University; Sanjoy K Sinha, Carleton University
9:25 AM
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Placebo-Based Multiple Imputation Methods for Sensitivity Analysis in Recurrent Event Data
Rui Yang, Chiltern International Inc
9:45 AM
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Measuring Cross-Country Differences in Misallocation
Kirk White, U.S. Census Bureau; Mitsukuni Nishida, Johns Hopkins Carey Business School; Martin Rotemberg, New York University; Amil Petrin, University of Minnesota-Twin Cities and NBER
10:35 AM
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Missing Data Imputation Strategies for Different Estimands in Clinical Trials
Ye Tan, Pfizer; Steven Gilbert, Pfizer Inc.
10:35 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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Analyzing the Multiply Imputed Accelerometer Data in the 2003-2004 National Health and Nutrition Examination Survey
Benmei Liu, National Cancer Institute; Mandi Yu, National Cancer Institute; Barry I. Graubard, National Cancer Institute; Richard Troiano, National Cancer Institute; Nathaniel Schenker, Retired
11:00 AM
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Informed Presence Bias in the Analysis of Electronic Health Records
Benjamin Goldstein, Duke University - Department of Biostatistics & Bioinformatics; Matthew Phelan, Duke Clinical Research Institute - Center for Predictive Medicine; Nrupen Bhavsar, Duke University - General Internal Medicine
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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Recommended Methods for Handling Missing Item Values in Regression Analyzes of the National Survey on Drug Use and Health
Peter Frechtel, RTI International; Phillip Kott, RTI; Rachel Harter, RTI International; Susan Edwards, RTI International; Jeff Laufenberg, RTI International; Stephen Tueller, RTI International; Jiantong Wang, RTI International; Sarra Hedden, Substance Abuse and Mental Health Services Administration; Jonaki Bose, Substance Abuse and Mental Health Services Administration; Rebecca Ahrnsbrak, Substance Abuse and Mental Health Services Administration; Rachel Lipari, Substance Abuse and Mental Health Services Administration; Matthew Williams, Substance Abuse and Mental Health Services Administration
11:25 AM
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Regression Power Analysis for a Linear Regression Model When Regressors Are Matrix-Sampled
Stanislav Kolenikov, Abt Associates; Heather Hammer, Abt Associates
11:50 AM
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Estimating Continuous Long-Term Daily Health Behavior Using Missing by Design Methods with Application for Medication Adherence of People Living with HIV
Ofer Harel, University of Connecticut
2:05 PM
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Maximum Likelihood Multiple Imputation: a More Efficient Approach to Repairing and Analyzing Incomplete Data
Paul T von Hippel, University of Texas
2:05 PM
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Combining Identifying Assumptions to Handle Nonignorable Missing Data
Mauricio Sadinle, Duke University; Jerry Reiter, Department of Statistical Science, Duke University
2:05 PM
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Dirichlet Process Mixture of Elliptical Copulas
Jiali Wang, The Australian National University; Anton Westveld, The Australian National University; Bronwyn Loong, The Australian National University
2:05 PM
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Spatial Small Area Smoothing Models for Handling Survey Data with Nonresponse
Kevin Watjou, Hasselt University; Christel Faes, University Hasselt; Russell S. Kirby, College of Public Health, University of South Florida; Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina; Rachel Carroll, National Institute of Environmental Health Sciences; Mehreteab Aregay, Department of Public Health Sciences, Medical University of South Carolina; Yannick Vandendijck, University Hasselt
2:05 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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Statistical Tools for Missing Data Inference in Home Mortgage Applications
Andrew Porter, Office of the Comptroller of the Currency
2:20 PM
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Parametric, Semiparametric and Non-Parametric Methods for Sensitivity Analysis with Incomplete Data
Geert Molenberghs , Universiteit Hasselt
2:25 PM
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Defining estimands in pain studies
Paul Gallo, Novartis
2:25 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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Sensitivity Analysis for Longitudinal Clinical Trials with Nonmonotone Missingness
Antonio R Linero, Florida State University
2:45 PM
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Integrative Association Analysis of Multiple Genomics Platforms
Danyu Lin, University of North Carolina
2:55 PM
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A Novel Framework for Selection Bias in Electronic Health Records-Based Research
Sarah B Peskoe, Harvard TH Chan School of Public Health; Sebastien Haneuse, TE-Harvard T.H. Chan School of Public Health
3:05 PM
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Wednesday, 08/02/2017
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Highly Robust Multiple Imputation Models Using BART
Michael R. Elliott, University of Michigan; Vincent Tan, Univerisity of Michigan; Carol Flannagan, Univerisity of Michigan
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Multiple Imputation in Longitudinal Studies with Circularity
Elizabeth Petraglia, Westat
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Imputation of Missing Data in Surveys and Studies in Dental Research
Michael Larsen, George Washington University; Charles D Larsen, Stony Brook School of Dental Medicine
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Imputation for Longitudinal Study of Effectiveness of an Anti-Smoking Campaign
Qiao Ma, NORC at the University of Chicago; Josiane Bechara, NORC at the University of Chicago; Edward Mulrow, NORC; Zachary Haskell Seeskin, NORC at the University of Chicago; Morgane Bennett, Truth Initiative; Jennifer Cantrell, Truth Initiative; Elizabeth Hair, Truth Initiative; Donna Vallone, Truth Initiative
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Multiple Imputation of Non-Ignorable Binary Missing Data Using a Censored Bivariate Probit Model
Angelina Hammon
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Imputation Classes as a Framework for Inferences From Non-random Samples
Vladislav Beresovsky, National Center for Health Statistics
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Missing Data Imputation Using Regression and Classification Tree Software GUIDE
Hyunshik Lee, Westat
8:50 AM
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Conditional Likelihood Ratio Test for Multivariate One-Sided Hypotheses with Missing Data
Madhurima Majumder, University of Rochester; Michael McDermott, University of Rochester
8:50 AM
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Highly Robust Multiple Imputation Models Using BART
Michael R. Elliott, University of Michigan; Vincent Tan, Univerisity of Michigan; Carol Flannagan, Univerisity of Michigan
9:00 AM
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Differentiated Effects of Data Analyses on Between- and Within-Imputation Variances in Multiple Imputation
Qiyuan Pan, NCHS/CDC; Rong Wei, NCHS / CDC; Yulei He, National Center for Health Statistics
9:05 AM
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Multiple Imputation in Longitudinal Studies with Circularity
Elizabeth Petraglia, Westat
9:05 AM
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Estimand Choice and Handling of Treatment Switch in Randomized Clinical Trials
Ulker Aydemir, INC Research
9:05 AM
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Multiple Imputation of Non-Ignorable Binary Missing Data Using a Censored Bivariate Probit Model
Angelina Hammon
9:10 AM
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Methods for Handling Missing Data Due to Death and Dropout in Mortal Cohorts
Lan Wen, University of Cambridge; Shaun Seaman, MRC Biostatistics Unit, University of Cambridge
9:20 AM
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Balancing Bias, Precision, and Sample Size Recovered in Determining a Practical Missing Data Imputation Approach
Laney Light; Frost Hubbard, IMPAQ International, LLC; Katherine Harris, IMPAQ International, LLC
9:20 AM
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Imputation of Missing Data in Surveys and Studies in Dental Research
Michael Larsen, George Washington University; Charles D Larsen, Stony Brook School of Dental Medicine
9:30 AM
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Evaluating Imputation Techniques for Longitudinal Study of Effectiveness of an Anti-Smoking Campaign
Qiao Ma, NORC at the University of Chicago; Josiane Bechara, NORC at the University of Chicago; Edward Mulrow, NORC; Zachary Haskell Seeskin, NORC at the University of Chicago; Morgane Bennett, Truth Initiative; Jennifer Cantrell, Truth Initiative; Elizabeth Hair, Truth Initiative; Donna Vallone, Truth Initiative
9:35 AM
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Approaches to Analysis of Treatment Interruptions Among Cancer Patients on Oral Oncolytic Agents
Asish Banik, Michigan State University; Charles W. Given, Michigan State University; Barbara Given, Michigan State University; Atreyee Majumder, Michigan State University; Alla Sikorskii, University of Arizona ; Eric Vachon, Michigan State University
10:35 AM
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Parameter Estimation Based on Stratified Cox Model with Missing Data of Stratified Factors in Small-Sized Trials or Small Strata
Junji Moriya, Kyowa Kirin Pharmaceutical Development, Inc.
10:35 AM
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Analysis of Dichotomous Binary Data with Missing Data Imputed Under Jump to Reference and Copy Reference Models
Zachary Zimmer, Merck; Lei Xu, Merck; Frank Liu, Merck & Co. Inc.
10:50 AM
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Fitting Proportional Odds Model with Missing Responses When the Missing Data Are Nonignorable
Vivek Pradhan, Pfizer Inc.; Huaming Tan, Pfizer Inc
10:50 AM
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Estimation of ROC Curve with Multiple Types of Missing Gold Standard
Danping Liu, National Institutes of Health; Xiao-Hua Zhou, University of Washington
11:15 AM
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Optimal Sparse Linear Prediction for Block-Missing Multi-Modality Data Without Imputation
Guan Yu, State University of New York at Buffalo; Quefeng Li, The University of North Carolina at Chapel Hill; Dinggang Shen, The University of North Carolina at Chapel Hill; Yufeng Liu, University of North Carolina
11:15 AM
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Missing Data - How Much Is Too Much ?
Lilianne (Lee-Lian) Kim, Janssen Pharmaceuticals R&D; Kim Hung Lo, Janssen R&D, LLC
11:20 AM
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Extending Multiple Imputation of a Clinical Trial Outcome to Nonparametric Methods
Kimberly Walters, Statistics Collaborative, Inc.; Lisa Weissfeld, Statistics Collaborative, Inc.
11:35 AM
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Implementing Multiple Imputation in Non-Inferiority Clinical Trials
Brian Wiens, Tobira Therapeutics; Ilya Lipkovich, QuintilesIMS
12:05 PM
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Interplay Between Estimands and Missing Data in Clinical Trials
David Ohlssen, Novartis
2:05 PM
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Multiple Imputation for Handling Measurement Errors
Trivellore Raghunathan, University of Michigan School of Public Health
2:05 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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Data Fusion for Correcting Measurement Errors
Maria DeYoreo; Jerry Reiter, Department of Statistical Science, Duke University; Tracy Schifeling, Duke
2:25 PM
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Bayesian Methods for Non-Ignorable Dropout in Joint Models in Smoking Cessation Studies
Jeremy Gaskins, University of Louisville; Michael J Daniels, University of Texas at Austin
3:05 PM
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Addressing Differential Measurement Error in Self-Reported Dietary Data Using an External Validation Study: Application to a Longitudinal Lifestyle Intervention Trial
Juned Siddique, Northwestern University; Raymond Carroll, Texas A&M University; Michael J Daniels, University of Texas at Austin; Trivellore Raghunathan, University of Michigan School of Public Health; Elizabeth Stuart, Johns Hopkins University; Laurence Freedman, Gertner Institute for Epidemiology and Health Policy Research
3:05 PM
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Doubly Robust Regression Analysis for Data Fusion
Katherine Evans; James Robins, Harvard University; Eric Tchetgen Tchetgen, Harvard University
3:05 PM
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The Impact of Multiple Imputation of Missing Data on the Statistical Inference in Health Disparities Research
Yihe Huang, George Washington University; Yan Ma, The George Washington University
3:20 PM
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Handling Incomplete Correlated Continuous and Binary Outcomes in Meta-Analysis of Individual Participant Data
Manuel Gomes, London School of Hygiene and Tropical Medicine; Laura Anne Hatfield, Harvard Medical School; Sharon-Lise Normand, Harvard Medical School
3:25 PM
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How Suited Is Propensity Score Matching for Combining Data from Different Sources?
Florian Meinfelder, Universitaet Bamberg
3:25 PM
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Thursday, 08/03/2017
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Overview of Estimands, Estimators, and Sensitivity for Longitudinal Clinical Trials
Craig Mallinckrodt, Eli Lilly & Co.
8:35 AM
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How Robust Are Your Trial Results? An Applied Comparison of Time-To-Event Missing Data Analyses
Joshua Rapkin, Abbott
8:35 AM
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Imputation of Ordinal Data in the Agricultural Resource Management Survey Using Bayesian Methods
Christopher Burns, USDA-Economic Research Service; Sujit K Ghosh, North Carolina State University; Daniel Prager, USDA-Economic Research Service; Li Zhang, George Mason University
8:35 AM
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Comparison of Frameworks for Tipping Point Analyzes
Achim Guettner, Novartis; Summer Xia, Novartis
8:55 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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Likelihood Based Approaches for Missing Data with Imputation Guided by the Worst Observed Responses
Frank Liu, Merck & Co. Inc.; Fang Liu, Merck & Co., Inc.; Devan Mehrotra, Merck & Co. Inc.
9:35 AM
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A Bayesian Hierarchical Model for Single-Cell RNA-Sequencing Data Clustering
Yiyi Liu, Yale University; Hongyu Zhao, Yale University
10:35 AM
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Missing Values in Linear Dynamic Panel Models - a Bayesian Approach Towards Model Comparison
Marcel Preising, University of Bamberg; Christian Aßmann, University of Bamberg
11:50 AM
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Semiparametric Adaptive Estimation with Nonignorable Nonresponse Data
Kosuke Morikawa, Osaka University; Jae-kwang Kim, Iowa State University
12:05 PM
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