Table 4.

Logistic regression health model with acute 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
Acute, True exposure				2.000	0.048	0.050	0.002	96.2
C1. Acute, Kriging	0.5	100	0.91	1.886	0.045	0.045	0.005	71.4
C1. Acute, Kriging	2	100	0.91	1.890	0.048	0.046	0.005	69.8
C1. Acute, Kriging	0.5	500	0.94	1.926	0.047	0.047	0.004	83.8
C1. Acute, Kriging	2	500	0.93	1.924	0.047	0.046	0.004	83.8
D1. Acute, LUR	0.5	100	0.31	1.261	0.041	0.020	0.214	0.0
D1. Acute, LUR	2	100	0.23	1.204	0.042	0.018	0.260	0.0
D1. Acute, LUR	0.5	500	0.53	1.428	0.037	0.027	0.115	0.0
D1. Acute, LUR	2	500	0.48	1.390	0.032	0.025	0.133	0.0
D2. Acute, LUR	0.5	100	0.96	2.078	0.057	0.053	0.005	90.2
D2. Acute, LUR	2	100	0.94	2.165	0.073	0.056	0.012	72.4
D2. Acute, LUR	0.5	500	0.98	2.008	0.050	0.050	0.002	95.0
D2. Acute, LUR	2	500	0.98	2.044	0.051	0.052	0.003	94.4
D3. Acute, LUR	0.5	100	0.97	1.994	0.050	0.050	0.003	94.2
D3. Acute, LUR	2	100	0.97	1.994	0.050	0.050	0.003	94.2
D3. Acute, LUR	0.5	500	0.98	2.001	0.050	0.050	0.002	95.2
D3. Acute, LUR	2	500	0.98	2.012	0.050	0.050	0.002	95.2