Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
Activity Details
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563 * !
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Wed, 8/2/2017,
2:00 PM -
3:50 PM
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CC-349
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Multiple Imputation for Measurement Errors and Other Structured Patterns of Missing Data — Topic Contributed Papers
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Survey Research Methods Section , Section on Bayesian Statistical Science , Biometrics Section
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Organizer(s): Philipp Gaffert, GfK SE
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Chair(s): Hans Kiesl, Ostbayerische Technische Hochschule, Regensburg
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2:05 PM
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Multiple Imputation for Handling Measurement Errors
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Trivellore Raghunathan, University of Michigan School of Public Health
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2:25 PM
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Data Fusion for Correcting Measurement Errors
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Maria DeYoreo ; Jerry Reiter, Department of Statistical Science, Duke University ; Tracy Schifeling, Duke
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2:45 PM
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Multiple Imputation in Data Fusion: Making Better Assumptions Than Conditional Independence
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Volker Bosch, GfK SE ; Philipp Gaffert, GfK SE
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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
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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
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3:25 PM
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How Suited Is Propensity Score Matching for Combining Data from Different Sources?
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Florian Meinfelder, Universitaet Bamberg
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3:45 PM
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Floor Discussion
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