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Contributed Papers

Missing Data, Outlier Detection, and Confidentiality

Thu, Aug 7, 10:30 AM - 12:20 PM Room CC-Davidson Ballroom A1 Music City Center

Hou-Cheng YangChair

Survey Research Methods Section

6 Presentations

Construction of Tolerance Intervals for Randomized Response Designs

10:35 AM - 10:50 AM

Co-authors: Daniel Tuyisenge, Daniel Tuyisenge, Derek Young (University of Kentucky)

Tolerance Intervals Confidence Intervals Randomized Response Techniques Applied Survey Sensitive Survey Data

How to create a histogram for censored data?

10:50 AM - 11:05 AM

Co-authors: Neelakshi Chatterjee, Zhaochong Yu, Neelakshi Chatterjee, Marepalli Rao (University of Cincinnati)

censored data survival analysis histogram conditional distribution

Variability in Causal Effects, Moderation, and Noncompliance from Data MAR in a Multisite Trial

11:05 AM - 11:20 AM

Co-authors: Yongyun Shin (Virginia Commonwealth University), Yongyun Shin (Virginia Commonwealth University), Stephen Raudenbush (The University of Chicago), Ruhi Baichwal (University of Chicago)

Complier average causal effects (CACE)Site-specific average CACE mean and variance of CACE across sites provisionally known random effects the EM algorithm adaptive Gauss Hermite quadrature

Resampling methods with multiply imputed data

11:20 AM - 11:35 AM

Co-authors: Michael Robbins (RAND Corporation), Michael Robbins (RAND Corporation), Lane Burgette (RAND)

Missing data Multiple imputation Jackknife Bootstrap

Balancing Privacy and Precision: The Impact of Data Perturbation Methods on Small Area Estimation

11:35 AM - 11:50 AM

Co-authors: Chendi Zhao, Chendi Zhao, Trivellore Raghunathan (Institute for Social Research)

Data Privacy Data Perturbation Small Area Estimation American Community Survey

WITHDRAWN - Determining Edit Limits for an Agricultural Survey Using Outlier Detection Methods

11:55 AM - 12:05 PM

Co-authors: Yumiko Siegfried (USDA/NASS), Megan Lipke (USDA/NASS), Darcy Miller (USDA/NASS), Luca Sartore (National Institute of Statistical Sciences), Kay Lee Turner (USDA/National Agricultural Stats Service), Denise Abreu (USDA/NASS)

Outlier detection Automatic editing Imputation Machine learning Survey modernization

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