|
|
|
|
420
|
Thu, 8/12/2021,
4:00 PM -
5:50 PM
|
Virtual
|
|
Modern Modeling Approaches for Imputation Using Survey Data — Invited Papers
|
|
Survey Research Methods Section
|
|
Organizer(s): Morgan Earp, National Center for Health Statistics
|
|
Chair(s): Morgan Earp, National Center for Health Statistics
|
|
4:05 PM
|
Imputation Procedures in Surveys Using Nonparametric and Machine Learning Methods: An Empirical Comparison
David Haziza, University of Ottawa; Mehdi Dagdoug, Université de Bourgogne Franche Comté; Camelia Goga, Université de Bourgogne Franche Comté
|
|
4:30 PM
|
Computationally Efficient Bayesian Unit-Level Models for Non-Gaussian Data Under Informative Sampling
Scott Holan, University of Missouri; Paul Parker, University of Missouri; Ryan Janicki, US Census Bureau
|
|
4:55 PM
|
Comparing the Performance of Alternative Imputation Methods for the Advance Monthly Retail Trade Survey
Katherine Jenny Thompson, U.S. Census Bureau; Stephen Kaputa, U.S. Census Bureau; Nicole Czaplicki, U.S. Census Bureau; Brian Dumbacher, U.S. Census Bureau
|
|
5:20 PM
|
Design Consistent Random Forest Models for Survey Data
daniell toth, US Bureau of Labor Statistics; Kelly McConville, Reed College
|
|
5:45 PM
|
Floor Discussion
|
