On the impact of covariate measurement error on spatial regression modelling.

TitleOn the impact of covariate measurement error on spatial regression modelling.
Publication TypeJournal Article
Year of Publication2014
AuthorsHuque, Md Hamidul, Howard Bondell, and Louise Ryan
JournalEnvironmetrics
Volume25
Issue8
Pagination560-570
Date Published2014 Dec
ISSN1180-4009
Abstract

Spatial regression models have grown in popularity in response to rapid advances in GIS (Geographic Information Systems) technology that allows epidemiologists to incorporate geographically indexed data into their studies. However, it turns out that there are some subtle pitfalls in the use of these models. We show that presence of covariate measurement error can lead to significant sensitivity of parameter estimation to the choice of spatial correlation structure. We quantify the effect of measurement error on parameter estimates, and then suggest two different ways to produce consistent estimates. We evaluate the methods through a simulation study. These methods are then applied to data on Ischemic Heart Disease (IHD).

DOI10.1002/env.2305
Alternate JournalEnvironmetrics
Original PublicationOn the impact of covariate measurement error on spatial regression modelling.
PubMed ID25729267
PubMed Central IDPMC4343262
Grant ListP01 CA142538 / CA / NCI NIH HHS / United States
Project: