Online Program Home
My Program

Abstract Details

Activity Number: 655 - Applications in the Analysis of Survey Data
Type: Contributed
Date/Time: Thursday, August 1, 2019 : 10:30 AM to 12:20 PM
Sponsor: Government Statistics Section
Abstract #304515
Title: Statistical Analysis of Parent-Child Pair Data from the National Health Interview Survey – an Approach via Weighting and Domain Estimation
Author(s): Guangyu Zhang* and Yulei He and Nathaniel Schenker and Van Parsons and Chris Moriarity and Stephen Blumberg and Benjamin Zablotsky and Aaron Maitland and Suresh Srinivasan and Matthew Bramlett
Companies: National Center for Health Statistics and CDC and Retired and National Center for Health Statistics and National Center for Health Statistics and National Center for Health Statistics and National Center for Health Statistics and National Center for Health Statistics and National Center for Health Statistics and National Center for Health Statistics
Keywords: NHIS; Pair data; weighting; domain analysis
Abstract:

The National Health Interview Survey (NHIS) is a cross-sectional survey conducted by the National Center for Health Statistics (NCHS). The sampling plan of NHIS follows a multistage probability design that permits representative sampling of the civilian, noninstitutionalized U.S. population. The NHIS selects one adult and one child (when applicable) randomly within a family, and sampling weights for sample adults and sample children have been developed by NCHS. In recent years, NCHS has received inquiries on analyzing parent-child pair data using NHIS. However, sampling weights for the selected pairs, in particular, parent-child pairs, have not been developed. In this research, we propose to derive the sampling weights for the adult-child pair data. We then identify parent-child pairs from the sampled adult-child pairs and conduct domain analyses for inferences about parent-child pairs. The proposed procedure is useful for studies using the NHIS parent-child pair data. It could also be adapted to other national surveys with similar statistical needs, in which one or more people within a family having a specified relationship have been sampled independently of such relationships.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2019 program