Keyword Search
Sessions Were Renumbered as of May 19.
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CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Multiple Imputation returned 20 record(s)
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Tuesday, 08/02/2016
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Multiple Imputation for Meta-Analysis: A Comparison of Existing Methods
Deborah Kunkel, The Ohio State University; Eloise Kaizar, The Ohio State University
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Multiple Imputation for Meta-Analysis: A Comparison of Existing Methods
Deborah Kunkel, The Ohio State University; Eloise Kaizar, The Ohio State University
8:35 AM
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Comparing Methods of Multiple Imputation for a Score-Variable Measured Repeatedly Over Time
Elizabeth L. McCabe, Boston University; Joseph M. Massaro, Boston University; Kathryn L. Lunetta, Boston University; Susan Cheng, Framingham Heart Study; Joanne M. Murabito, Framingham Heart Study; Martin G. Larson, Boston University
9:35 AM
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Multiple Imputation Methods to Enhance the NHANES-CMS Medicaid Linked Data - Demonstrated by Examining Cotinine as a Biomarker for Second-Hand Smoke Among Children Ages 3--17
Jennifer Rammon, CDC
2:50 PM
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A Novel Bayesian Multiple Imputation Framework for Massive Multivariate Data with Mixed Types of Marginals
Hakan Demirtas, University of Illinois at Chicago
3:25 PM
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Wednesday, 08/03/2016
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Missing Data and Complex Sample Surveys: The Impact of Listwise Deletion vs. Multiple Imputation on Point and Interval Estimates When Data Are MCAR and MAR
DeAnn Trevathan, University of South Florida; Anh Kellermann, University of South Florida; Jeffrey Kromrey, University of South Florida
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Multiple Imputation for Non-Detects in QPCR
Valeriia Sherina, University of Rochester; Matthew Nicholson McCall, University of Rochester
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Multiple Imputation for Non-Detects in QPCR
Valeriia Sherina, University of Rochester; Matthew Nicholson McCall, University of Rochester
9:15 AM
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Multiple Imputation Method Based on Weighted Quantile Regression Models for Longitudinal Censored Biomarker Data with Missing Early Visits
MinJae Lee, The University of Texas Health Science Center at Houston ; Mohammad H. Rahbar, The University of Texas Health Science Center at Houston; John D. Reveille, The University of Texas Health Science Center at Houston ; Michael Weisman, Cedars-Sinai Medical Center; Michael M. Ward, National Institute of Arthritis and Musculoskeletal and Skin Diseases; Lianne Gensler, University of California at San Francisco; Matthew Brown, University of Queensland Diamantina Institute
10:05 AM
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The Role of Multiple Imputation in Noninferiority Trials
Brian Wiens, Portola Pharmaceuticals; Ilya Lipkovich, Quintiles
11:35 AM
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Multiple Imputation for Survey Integration Under Informative Sampling
Seho Park, Iowa State University; Jae-kwang Kim, Iowa State University
11:35 AM
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On the Use of the Treatment Effect in the Imputation Model for Multiple Imputation Analyses of Missing Data
Robert Small, Sanofi Pasteur
2:20 PM
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Testing Treatment Effect in Clinical Trials with Patient Dropout Using Latent Mixture Models
Fanhui Kong, FDA; Yeh-Fong Chen, FDA
2:20 PM
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A Simulation Study to Compare Multiple Imputation Methods Under Missing Not-at-Random Assumption
David Li, Pfizer; Lingfeng Yang, BMS
3:20 PM
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Thursday, 08/04/2016
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Combining Information from Two Data Sources with Misreporting and Incompleteness to Assess Hospice-Use Among Cancer Patients: A Multiple Imputation Approach
Yulei He, CDC; Mary-Beth Landrum, Harvard Medical School; Alan M. Zaslavsky, Harvard Medical School
8:35 AM
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Combining Item Response Theory with Multiple Imputation to Equate Health Assessment Questionnaires
Chenyang Gu, Brown University; Roee Gutman, Brown University; Vincent Mor, Brown University
9:25 AM
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Comparison of Multiple Imputation Methods for Categorical Survey Items with High Missing Rates: Application to the Family Life, Activity, Sun, Health, and Eating Study
Benmei Liu, National Cancer Institute; Erin Hennessy, National Cancer Institute; April Oh, National Cancer Institute; Linda Nebeling, National Cancer Institute
10:35 AM
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