Table 2.

Logistic regression health model with chronic exposure to air pollution, fit using the true exposure, and fit using the predicted exposures from several different kriging and land use regression models.

Exposure Scenario	κ	m	Predicted exposure R2	Odds Ratio	Empirical S.E.	Model S.E.	Mean Square Error	95% CI coverage
Chronic, True exposure				2.028	0.167	0.165	0.028	95.2
A1. Chronic, Kriging	0.5	100	0.27	2.570	0.769	0.513	0.654	89.3
A1. Chronic, Kriging	2	100	0.26	2.513	0.699	1.199	0.540	90.4
A1. Chronic, Kriging	0.5	500	0.44	2.170	0.293	0.284	0.092	94.8
A1. Chronic, Kriging	2	500	0.41	2.119	0.298	0.289	0.092	94.9
A2. Chronic, Kriging	0.5	100	0.25	1.815	0.397	0.314	0.167	83.1
A2. Chronic, Kriging	2	100	0.24	1.806	0.417	0.321	0.184	83.7
A2. Chronic, Kriging	0.5	500	0.36	1.657	0.232	0.204	0.089	75.4
A2. Chronic, Kriging	2	500	0.34	1.611	0.252	0.207	0.110	72.9
B1. Chronic, LUR	0.5	100	0.72	2.111	0.270	0.228	0.076	91.0
B1. Chronic, LUR	2	100	0.71	2.087	0.264	0.226	0.071	91.3
B1. Chronic, LUR	0.5	500	0.84	2.076	0.215	0.196	0.047	93.8
B1. Chronic, LUR	2	500	0.84	2.072	0.216	0.196	0.048	93.7