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Activity Number: 409 - Small-Area Estimation and Use of Unit-Level Models
Type: Contributed
Date/Time: Tuesday, August 1, 2017 : 2:00 PM to 3:50 PM
Sponsor: Survey Research Methods Section
Abstract #323343 View Presentation
Title: Spatial Small Area Smoothing Models for Handling Survey Data with Nonresponse
Author(s): Kevin Watjou* and Christel Faes and Russell S. Kirby and Andrew Lawson and Rachel Carroll and Mehreteab Aregay and Yannick Vandendijck
Companies: Hasselt University and University Hasselt and College of Public Health, University of South Florida and Department of Public Health Sciences, Medical University of South Carolina and National Institute of Environmental Health Sciences and Department of Public Health Sciences, Medical University of South Carolina and University Hasselt
Keywords: Complex Survey Design ; Disease Mapping ; Hierarchical Bayesian Modeling ; Integrated Nested Laplace Approximation ; Missing Data
Abstract:

Spatial smoothing models play an important role in the field of small area estimation (SAE). In the context of complex survey designs, the use of design weights is indispensable in the estimation process. Recently, efforts have been made in these spatial smoothing models, in order to obtain reliable estimates of the spatial trend. However, the concept of missing data remains a prevalent problem in the context of spatial trend estimation as estimates are potentially subject to bias. In this paper, we focus on spatial health surveys where the available information consists of a binary response and its associated design weight. Furthermore, we investigate the impact of nonresponse as missing data on a range of spatial models for different missingness mechanisms and different degrees of missingness by means of an extensive simulation study. The results show that weight adjustment to correct for missingness has a beneficial effect on the bias in the missing at random (MAR) setting for all models. Furthermore we estimate the geographical distribution of perceived health at the district level based on the Belgian Health Interview Survey (2001).


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

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