Comparison of small-area deprivation measures as predictors of chronic disease burden in a low-income population

Table 5 ZCTA-level spatial regression model statistical criteria: Palmetto SADI versus four alternative small-area deprivation measures

Model	At least one chronic condition			Two or more chronic conditions
	R-squared	AIC	BIC	R-squared	AIC	BIC
Palmetto SADI	0.6224	3608.91	3620.67	0.6117	3203.39	3215.15
Townsend	0.5843	3662.31	3674.06	0.5754	3251.79	3263.55
Poverty	0.5727	3662.86	3674.62	0.5864	3232.06	3243.81
Primary Care HPSA	0.5454	3693.40	3705.16	0.5614	3262.62	3274.38
MUA/MUP	0.5457	3692.42	3704.17	0.5635	3257.63	3269.38

The table shows omnibus statistics for ZCTA-level single predictor spatial regression models of two chronic disease burden indicators derived for all FY2012 South Carolina Medicaid recipients (N = 1,024,034). Akaike information criterion measure (AIC) and Schwarz Bayesian information criterion measure (BIC) values indicate the model’s deviance from a perfectly predicting model. Lower values of AIC and BIC indicate a preferable model

ISSN: 1475-9276