Skip to main content

Table 6 Comparison of individual covariate adjusted conditional autoregressive model (indiCAR) with the Leroux et al. [7] method based on age-sex adjustments

From: Individual level covariate adjusted conditional autoregressive (indiCAR) model for disease mapping

Regression coefficients indiCAR Leroux et al.
Estimates SE Estimates SE
Intercept −2.781 0.110
Age group (years)
 20–30 0.124 0.056
 30–39 0.208 0.042
 40–49 Ref.    
 50–59 −0.119 0.031
 60–69 −0.287 0.031
 70–79 −0.712 0.033
 80+ −1.586 0.045
Sex
 Female Ref.    
 Male −0.082 0.020
Year of diagnosis
 2001 Ref.    
 2002 0.018 0.038
 2003 0.083 0.038
 2004 0.021 0.038
 2005 0.096 0.037
 2006 0.036 0.038
 2007 0.026 0.038
 2008 −0.001 0.038
 2009 −0.315 0.042
ARIA
 Major cities Ref.    
 Inner regional Australia −0.023 0.047
 Outer regional Australia −0.147 0.068
 Remote/very remote Australia −0.231 0.163
Cancer type
 Breast cancer Ref.
 Lung cancer 0.253 0.038
 Colon and rectum cancer −0.434 0.040
 Haematological malignancy 1.572 0.029
 Other cancer −0.942 0.031
No. of major comorbidities
 0 Ref.  
 1 0.413 0.026
 2 0.670 0.026
 3 0.609 0.036
 4+ 0.605 0.035
SEIFA
 Most disadvantaged Ref.    
 2 −0.083 0.044 −0.075 0.042
 3 −0.071 0.041 −0.068 0.038
 4 −0.125 0.047 −0.121 0.044
 Least disadvantaged −0.131 0.056 −0.129 0.052
Variance parameter
 σ 0.204 0.022 0.210 0.022
 λ 0.992 0.012 0.989 0.015