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Table 7 Application of indiCAR with age as a continuous predictor

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

Regression coefficients Estimates SE
Intercept −1.493 0.047
Age −0.027 0.001
Sex
 Female Ref.  
 Male −0.043 0.020
Year of diagnosis
 2001 Ref.  
 2002 0.021 0.038
 2003 0.083 0.038
 2004 0.019 0.038
 2005 0.095 0.037
 2006 0.038 0.038
 2007 −0.022 0.038
 2008 −0.004 0.038
 2009 −0.315 0.042
ARIA
 Major cities Ref.  
 Inner regional Australia −0.006 0.022
 Outer regional Australia −0.118 0.037
 Remote or very remote Australia −0.192 0.142
Cancer type
 Breast cancer Ref.  
 Lung cancer 0.240 0.037
 Colon and rectum cancer −0.463 0.040
 Haematological malignancy 1.497 0.029
 Other cancer −0.986 0.031
No. of major comorbidities
 0 Ref.  
 1 0.413 0.026
 2 0.682 0.026
 3 0.589 0.036
 4+ 0.594 0.035
SEIFA
 Most disadvantaged Ref.  
 2 −0.089 0.043
 3 −0.078 0.038
 4 −0.134 0.045
 Least disadvantaged −0.144 0.053
Variance parameter
 σ 0.209 0.022
 λ 0.992 0.012