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

Table 7 Application of indiCAR with age as a continuous predictor

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

ISSN: 1476-072X