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583 Wed, 8/1/2012, 2:00 PM - 3:50 PM CC-Room 32B
Advances in Multiple Imputation Methodology — Contributed Papers
Section on Survey Research Methods , Section on Statistical Computing
Chair(s): Siyu Qing, The George Washington University
2:05 PM Multiple Imputation for Hierarchical Data Sets Joerg Drechsler, German Institute for Employment Research (IAB) ; Joe Sakshaug, German Institute for Employment Research (IAB) ; Matthias Speidel, Ludwig-Maxilians-Universit√§t M√ľnchen
2:20 PM A Two-Step Semi-Parametric Method to Account for Survey Weights in Multiple Imputation Hanzhi Zhou, University of Michigan
2:35 PM Estimation of Two-Level Hierarchical Generalized Linear Models Given a Mixture of Ordinal and Continuous Missing Data Yongyun Shin, Virginia Commonwealth University
2:50 PM Imputation Models to Estimate Mean Fatty Acid Percentages in NHANES Maya Sternberg, CDC ; Rosemary Schleicher, CDC
3:05 PM Investigating the Bias of Alternative Statistical Inference Methods in Sequential Mixed-Mode Surveys Tuba Suzer-Gurtekin, University of Michigan ; Steven G. Heeringa, University of Michigan ; Richard Valliant, University of Maryland
3:20 PM Using Imputation to Adjust for Seam Bias in a Rotating Panel Survey Joe Sakshaug, German Institute for Employment Research (IAB) ; Joerg Drechsler, German Institute for Employment Research (IAB)
3:35 PM Fitting Additive Hazards Models for Case-Cohort Studies: A Multiple Imputation Approach Jinhyouk Jung, University of Connecticut ; Sangwook Kang, University of Connecticut ; Ofer Harel, Ph.D., University of Connecticut

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