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CC = Baltimore Convention Center,    H = Hilton Baltimore
* = applied session       ! = JSM meeting theme

Activity Details

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