Geographic variations in cervical cancer risk in San Luis Potosí state, Mexico: A spatial statistical approach

Table 3 Better fitting model: Analyses results of Models

		mod1 U _i, S _i≡0	mod2 S _i≡0	mod3 U _i ≡0	mod4 U _i, S _i ≠ 0
β ₁ Unemployed	μ	−0.014	−0.033	−0.022	−0.032
β ₁ Unemployed	sd	0.009	0.014	0.011	0.014
β ₂ Single female (SF)	μ	0.033	0.041	0.033	0.44
β ₂ Single female (SF)	sd	0.010	0.015	0.014	0.015
β ₃ Marginalisation Index (MI)	μ	0.043	0.062	0.041	0.052
β ₃ Marginalisation Index (MI)	sd	0.006	0.013	0.009	0.010
β ₄ Positive screening Index (PI)	μ	0.043	0.028	0.018	0.028
β ₄ Positive screening Index (PI)	sd	0.009	0.015	0.014	0.015
β ₅ Coverage (C)	μ	0.143	0.171	0.146	0.154
β ₅ Coverage (C)	sd	0.014	0.024	0.020	0.022
β ₆ Index of accessibility to health services (IA)	μ	0.020	0.014	0.017	0.013
β ₆ Index of accessibility to health services (IA)	sd	0.006	0.009	0.008	0.009
DIC		372.72	343.69	348.73	344.31

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