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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Missing Data returned 31 record(s)
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Monday, 07/31/2017
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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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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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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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Tuesday, 08/01/2017
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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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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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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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Placebo-Based Multiple Imputation Methods for Sensitivity Analysis in Recurrent Event Data
Rui Yang, Chiltern International Inc
9:45 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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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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Wednesday, 08/02/2017
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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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Multiple Imputation of Non-Ignorable Binary Missing Data Using a Censored Bivariate Probit Model
Angelina Hammon
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Missing Data Imputation Using Regression and Classification Tree Software GUIDE
Hyunshik Lee, Westat
8:50 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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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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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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Interplay Between Estimands and Missing Data in Clinical Trials
David Ohlssen, Novartis
2:05 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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