Using spatial linear models with SAR and CAR structure to examine Texas lung cancer incidence rates
Scholars have found that socioeconomic status was one of the key factors that influenced early-stage lung cancer incidence rates in a variety of regions. This thesis examined the association between median household income and lung cancer incidence rates in Texas counties. A total of 254 individual counties in Texas with corresponding lung cancer incidence rates from 2004 to 2008 and median household incomes in 2006 were collected from the National Cancer Institute Surveillance System. A simple linear model and spatial linear models with two structures, Simultaneous Autoregressive Structure (SAR) and Conditional Autoregressive Structure (CAR), were used to link median household income and lung cancer incidence rates in Texas. The residuals of the spatial linear models were analyzed with Moran's I and Geary's C statistics, and the statistical results were used to detect similar lung cancer incidence rate clusters and disease patterns in Texas.^
Biology, Biostatistics|Health Sciences, Epidemiology|Health Sciences, Oncology
"Using spatial linear models with SAR and CAR structure to examine Texas lung cancer incidence rates"
(January 1, 2012).
Texas Medical Center Dissertations (via ProQuest).