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: Imputation returned 90 record(s)
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Sunday, 07/30/2017
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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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Calculating Boundary Limits for the Hidiroglou-Bertholet Edit Used to Flag Adminstrative Receipts
Melvin McCullough, U.S. Census Bureau; Michael E Kornbau, U.S. Census Bureau
2:50 PM
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Using Imputation to Reduce the Cost of Survey Collection in the Current Population Survey
John Dixon, U.S. Bureau of Labor Statistics
3:05 PM
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Estimating the Number of Tax Returns Required to Be Filed: Nonparametric Methods to Address Respondent Rounding
Minsun Riddles, Westat; Sharon Lohr, Westat; J. Michael Brick, Westat; Patrick T. Langetieg, Internal Revenue Service; J. Mark Payne, Internal Revenue Service; Alan H. Plumley, Internal Revenue Service
4:25 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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B-Spline Imputation Procedures for the Treatment of Item Nonresponse in Surveys
David Haziza, University of Montreal; Camelia Goga, Universite de Bourgogne
5:05 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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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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Sensitivity Analysis of Andersen-Gill Model
Dongmei Lan; Jill Stankowski, ICON PLC
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Imputing Water Consumption in Large Commercial Buildings in the 2012 CBECS
Jay Olsen, EIA Dept of Energy
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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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Hot Deck Imputation of Multinomial Distributions When There Are Fewer Donors Than Recipients
Katherine Thompson, U.S. Census Bureau; Rebecca Andridge, Ohio State University; Laura Bechtel, U.S. Census Bureau; Natasha McCarthy, U.S. Census Bureau
8:55 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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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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Imputing Water Consumption in Large Commercial Buildings in the 2012 CBECS
Jay Olsen, EIA Dept of Energy
10:50 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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Adaptive Design by Benchmarked Sequential Sampling and Benchmarked Multiple Imputation
Shin-Jung Lee, University of Michigan
12:05 PM
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A Comparison of Training Modules for Administrative Records Use in Nonresponse Followup Operations: The 2010 Census and the American Community Survey
Hubert Janicki, U.S. Census Bureau; Melissa Chow, U.S. Census Bureau; Moises Yi, U.S. Census Bureau; Lawrence Warren, U.S. Census Bureau; Mark Kutzbach, U.S Census Bureau
2:05 PM
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Errors in Reporting and Imputation of Government Benefits and Their Implications
Nikolas Mittag; Pablo Celhay, School of Government, P. Universidad Católica de Chile; Bruce MEYER, University of Chicago
2:05 PM
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Resolving Balance Complex Discrepancies in the Presence of Negative Data
Laura Bechtel, U.S. Census Bureau; Nicole Czaplicki, U.S. Census Bureau; Maria Garcia, U.S. Census Bureau; Jeremy Knutson, U.S. Census Bureau
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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Tuesday, 08/01/2017
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Tree-Based Hot Deck Imputation Cycling - Does Cycling Help?
Peilan Martin
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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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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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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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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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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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Hot Deck Imputation: Proper or Improper?
Rebecca Andridge, Ohio State University
3:05 PM
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Wednesday, 08/02/2017
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Estimating Principal Casual Effects with Multiple Imputations
Myung Shin Sim, UCLA; Chi-Hong Tseng, UCLA
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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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Donor Selection for MCBS Asset Imputation
Kanru Xia, NORC; Meimeizi Zhu, NORC; Cheryl L. Sharpless, CMS; John C. McCormick, CMS; Edward Mulrow, NORC
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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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Multiple Imputation to Evaluate the Impact of an Assay Change in National Surveys
Maya Sternberg, Centers for Disease Control & Prevention
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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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Assessing the Impact of the Final Housing Unit Followup on the 2010 Census Coverage Measurement Housing Unit Estimates
Michael Beaghen; Anne M Wakim, U.S. Census Bureau
8:35 AM
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Missing Data Imputation Using Regression and Classification Tree Software GUIDE
Hyunshik Lee, Westat
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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Generating Partially Synthetic Geocoded Public-Use Data with Decreased Disclosure Risk Using Differential Smoothing
Harrison Quick, Drexel University; Scott H. Holan, University of Missouri; Christopher Wikle, University of Missouri
9:15 AM
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Multiple Imputation to Evaluate the Impact of an Assay Change in National Surveys
Maya Sternberg, Centers for Disease Control & Prevention
9:15 AM
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Donor Selection for MCBS Asset Imputation
Kanru Xia, NORC; Meimeizi Zhu, NORC; Cheryl L. Sharpless, CMS; John C. McCormick, CMS; Edward Mulrow, NORC
9:20 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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Imputation Classes as a Framework for Inferences From Non-random Samples
Vladislav Beresovsky, National Center for Health Statistics
9:45 AM
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Developing Variance Estimates for Products in the Economic Census
Jeremy Knutson, U.S. Census Bureau; Matthew Thompson, U.S. Census Bureau; Katherine Thompson, U.S. Census Bureau
9:50 AM
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The Interplay Between the Practice and Theory of Survey Sampling: Past, Present, and Future
Graham Kalton, Westat
11:00 AM
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A Practical Application of Multiple Imputation (MI) in a Double Blinded Randomized Phase III Study in Spinal Muscular Atrophy
Peng Sun, Biogen; Richard Foster, Biogen; Guochen Song, Biogen; John Zhong, Biogen
11:05 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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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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Subgroup Analyzes from Multiple Imputed Data Sets
Tianyue Zhou; Zhiying Qiu, Sanofi; Meehyung Cho, Sanofi; Hui Quan, Sanofi
11:50 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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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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Nonparametric Methods for Irregularly Sampled Censored Data with Applications to Liver Transplant Allocations
Sujit K Ghosh, North Carolina State University; Bradley Turnbull, Apple Inc
2:45 PM
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Multiple Imputation in Data Fusion: Making Better Assumptions Than Conditional Independence
Volker Bosch, GfK SE; Philipp Gaffert, GfK SE
2:45 PM
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"Efron's Rules" for Inference after Imputation and Model Selection
Karen Messer, UCSD Biostatistics; Lin Liu, UCSD Biostatistics; Loki Natarajan, UCSD Biostatistics
2:45 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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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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Thursday, 08/03/2017
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Enhancing the NHANES CMS Medicaid Linked Data with Multiple Imputation
Jennifer R Rammon, National Center for Health Statistics; Jennifer Parker, National Center for Health Statistics; Yulei He, National Center for Health Statistics
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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The Development and Validation of a Synthetic Cardiovascular Cohort
Norrina Allen, Northwestern University; Hongyan Ning, Northwestern University; Juned Siddique, Northwestern University; Donald Lloyd-Jones, Northwestern University; Amy Krefman, Northwestern University
8:55 AM
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Calibrated Multiple Imputation
Joseph Kang, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention; Yulei He, National Center for Health Statistics; Precious Esie, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB; Jaeyoung Hong, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB; Kyle Bernstein, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB
9:00 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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Multiple Imputation Using Control Quantile Statistics
David Li, Pfizer
9:15 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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Bayesian Model Averaging in Multiple Imputation Under Informative Sampling
Gyuhyeong Goh, Kansas State University; Jae-kwang Kim, Iowa State University
10:35 AM
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Genotype and Haplotype Imputation by Matrix Completion Methods
Rory Wasiolek, University of California; Janet Sinshiemer, University of California; Kenneth Lange, UCLA
11:15 AM
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Built-In BLUP Genotype Imputation of Adaptive-Weight Genetic Association Burden Test for Data with Complex Correlations
Ting Guan; Xiaowei Wu, Virginia Tech
11:20 AM
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