NISS Workshop on Analyzing Complex Survey Data with Missing Item Values

Friday, October 17, 2014 - 8:30am to 4:30pm

2 Massachusetts Ave, N.E., Washington, DC

NISS/SAMSI Affiliates may use funds from their Affiliate Award Fund to cover travel expenses to this workshop.



Friday, October 17, 2014

8:30-11:45 a.m. Conceptual and Methodological Issues for Incomplete Data and Imputation
8:30-8:45 John Eltinge, Bureau of Labor Statistics
Overview of Issues Surrounding Missing Data
8:45-9:25 Phil Kott, RTI International
In Praise of the Listwise-Deletion Method (Perhaps with Reweighting)
9:25-10:05 Rod Little, University of Michigan
Likelihood-based Methods with Missing Data
10:05-10:25 Break
10:25-11:05 Shu Yang, Harvard School of Public Health
Fractional imputation method for missing data analysis: a review and a future vision
11:05-11:45 Joe Schafer, U.S. Census Bureau
An Introduction to Multiple Imputation for Missing Data
11:45-1:00 LUNCH (on your own)
1:00-2:00 Case Studies from Federal Agencies
1:00-1:20 Kirk White, U.S. Census Bureau
Imputation in the Census of Manufacturers
1:20-1:40 Martha Stinson, U.S. Census Bureau
Imputation in the Survey of Income and Program Participation
1:40-2:00 Tim Keller, USDA National Agricultural Research Service
New Approach to Imputation for Agricultural Resource Management Survey
2:00-3:00 New Research Ideas
2:00-2:20 Jerry Reiter, Duke University
Bayesian Mixture Models for Multiple Imputation
2:20-2:40 Jae-kwang Kim, Iowa State University
New Research Ideas on Fractional Imputation
2:40-3:00 Paul Biemer, RTI International and the The Odum Institute (UNC)
Full Information Maximum Likelihood for Categorical Survey Data
3:00-3:20 Break
3:20-3:50 Challenging Problems with Incomplete Data and Imputation in Large-scale Federal Surveys
Working Session
Geoffrey Paulin, Bureau of Labor Statistics
Between-Interview Imputation in the Consumer Expenditure Survey
Presentation: Imputing Across Interviews: Balancing Time Savings with Data Quality
Summary of Problem

Carol Gotway Crawford and Wendy Barboza, NASS

Additional Speakers To Be Determined

3:50-4:20 Wrap-up and Next Steps

Event Type


Bureau of Labor Statistics Conference Center, Washington, DC
United States