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Keyword Search Criteria: Electronic Health Record returned 27 record(s)
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Sunday, 07/29/2018
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Regression Calibration to Address Error Prone Time-To-Event Outcomes
Eric Oh, University of Pennsylvania; Pamela A Shaw, University of Pennsylvania
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Regression Calibration to Address Error Prone Time-To-Event Outcomes
Eric Oh, University of Pennsylvania; Pamela A Shaw, University of Pennsylvania
2:05 PM
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Scalable Methods for Association Analysis in Biobank Scale Data Sets
Dajiang Liu, Penn State College of Medicine
2:55 PM
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Enabling Phenotypic Big Data with PheNorm
Sheng Yu, Tsinghua University; Yumeng Ma, Tsinghua University; Jessica Gronsbell, Harvard T.H. Chan School of Public Health; Tianrun Cai, Brigham and Women's Hospital; Ashwin Ananthakrishnan, Massachusetts General Hospital; Vivian Gainer, Partners HealthCare; Susanne Churchill, Harvard Medical School; Peter Szolovits, Massachusetts Institute of Technology; Shawn Murphy, Partners HealthCare; Isaac Kohane, Harvard Medical School; Katherine Liao, Brigham and Women's Hospital; Tianxi Cai, Harvard T.H. Chan School of Public Health
3:20 PM
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Perils and Possibilities of EHR Data Linked to Population Disease Registries: The Example of Cancer Registry Linkage
Rebecca Hubbard, University of Pennsylvania
4:05 PM
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Monday, 07/30/2018
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A Generalized Fellegi-Sunter Framework for Unsupervised Collective Record Linkage in Clustered Relational Data with Applications to Electronic Health Records
Nicole Solomon, Duke University Medical Center; Sean M O'Brien, Duke University Medical Center; Joseph Lucas, Duke University
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Combining Inverse Probability Weighting and Multiple Imputation to Adjust for Selection Bias in Electronic Health Records-Based Research
Tanayott Thaweethai, Harvard T.H. Chan School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health; David Arterburn, Kaiser Permanente Washington Health Research Institute
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DataSifter: Statistical Obfuscation of Electronic Health Record and Other Sensitive Data Sets
Nina Zhou, University of Michigan; Simeone Marino, Statistics Online Computational Resource, University of Michigan; Lu Wang, University of Michigan; Yiwang Zhou, University of Michigan; Ivo Dinov, Statistics Online Computational Resource, University of Michigan
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DataSifter: Statistical Obfuscation of Electronic Health Record and Other Sensitive Data Sets
Nina Zhou, University of Michigan; Simeone Marino, Statistics Online Computational Resource, University of Michigan; Lu Wang, University of Michigan; Yiwang Zhou, University of Michigan; Ivo Dinov, Statistics Online Computational Resource, University of Michigan
8:35 AM
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A Decision Tool for Causal Inference and Observational Data Analysis Methods in Comparative Effectiveness Research (DECODE CER)
Douglas Landsittel, University of Pittsburgh; (Joyce) Chung-Chou H. Chang, University of Pittsburgh; Sally C. Morton, Virginia Tech
8:55 AM
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Learning Individualized Treatment Rules from Electronic Health Records Data
Yuanjia Wang, Columbia University
9:00 AM
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Improving the Design of Pragmatic Clinical Trials Using Data Collected from Electronic Medical Records
Susan Shortreed, Kaiser Permanente Washington Health Research Institute; Carlyn M Rutter, RAND Corporation; Andrea J. Cook, Kaiser Permanente Washington Health Research Institute; Greg Simon, Kaiser Permenete Washington Health Research Insitute
9:15 AM
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How Small Data Can Leverage Big Data, and/or Conversely
Bhramar Mukherjee, University of Michigan
10:55 AM
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Combining Inverse Probability Weighting and Multiple Imputation to Adjust for Selection Bias in Electronic Health Records-Based Research
Tanayott Thaweethai, Harvard T.H. Chan School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health; David Arterburn, Kaiser Permanente Washington Health Research Institute
10:55 AM
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Using Electronic Health Records Data for Predictive and Causal Inference About the HIV Care Cascade
Joseph W Hogan, Brown University School of Public Health
11:35 AM
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Uses of Alternative Data Sources for Public Health Statistics and Policymaking: Challenges and Opportunities
Zachary H Seeskin, NORC at the University of Chicago; Felicia LeClere, NORC at the University of Chicago; Jaehoon Ahn, NORC at the University of Chicago; Joshua Williams, Office of the Assistant Secretary for Planning and Evaluation
2:25 PM
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Assessing the Impact of Health Policy Changes in Primary Care
Miguel Marino, OHSU-PSU School of Public Health, Biostatistics Group
2:30 PM
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Tuesday, 07/31/2018
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Correcting for Errors in Variables Derived from Electronic Health Records Using Validation Sampling and Multiple Imputation
Bryan E Shepherd, Vanderbilt University School of Medicine; Mark Giganti, Vanderbilt University School of Medicine
8:35 AM
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Genetic Association Testing with Imperfect Phenotypes Derived from Electronic Health Records
Jennifer Sinnott, Ohio State University
8:35 AM
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On the Use of Raking to Improve Regression Calibration: A Flexible Method to Address Error-Induced Bias Efficiently
Eric Oh, University of Pennsylvania; Pamela A Shaw, University of Pennsylvania
9:00 AM
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Model-Based Electronic Health Records Phenotyping from Only Positive and Unlabeled Data
Lingjiao Zhang, University of Pennsylvania; Naveen Muthu, University of Pennsylvania; Xiruo Ding, University of Pennsylvania; Daniel S Herman, University of Pennsylvania; Jinbo Chen, University of Pennsylvania
11:35 AM
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Sample-Weighted Semiparametric Estimates of Cause-Specific Cumulative Incidence Using Left-/Interval Censored Data from Electronic Health Records
Noorie Hyun, Medical College of Wisconsin; Hormuzd A. Katki, Biostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute; Barry Ira Graubard, National Cancer Institute
11:50 AM
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If it Is in the Electronic Health Record, Then it Must Be True
Jareen Meinzen-Derr, Cincinnati Children's Hospital Med Center
2:05 PM
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Improving Data Quality for Time-Varying Measurements in EHRs via Dynamic Interaction: a Case Study for Growth Chart
Qingxia Chen, Vanderbilt University
2:45 PM
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Thursday, 08/02/2018
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Risk Prediction Using Longitudinal Predictors: An Application to Electronic Health Records Data
Benjamin A Goldstein, Duke University; Michael Pencina, Duke University; Gina-Maria Pomann, Duke University; Wolfgang Winkelmayer, Baylor University
10:35 AM
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Deriving and Analyzing Endpoints from Electronic Health Record Data: a Case Study from Clinical Oncology
Sandra Griffith, Flatiron Health; Ariel Bourla, Flatiron Health; Bryan Bowser, Flatiron Health ; Geoff Calkins, Flatiron Health; Joe Chang, Flatiron Health; Rebecca Miksad , Flatiron Health ; Brian Segal, Flatiron Health; Elizabeth Sweeney, Flatiron Health ; Erin Williams, Flatiron Health ; Paul You , Flatiron Health ; Amy Abernethy, Flatiron Health
11:15 AM
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