### Bayesian Estimates **Overall across all 95 cities**

**city state**  **Beta Std(beta)**  **Beta Std(beta)**  akr OH 2.31E-04 1.55E-04 4.23E-04 7.73E-05 albu NM 9.40E-04 2.03E-04 arlv VA 6.85E-04 2.32E-04 Percent increase per 15 ppb increase in daily 8-hr max: atla GA 7.05E-04 2.25E-04 These results: 0.636% (0.408-0.865%) aust TX 5.04E-04 2.00E-04 Bell et al. JAMA 2004: 0.64% (0.41-0.86%) bake CA 3.90E-04 2.50E-04 balt MD 3.43E-04 2.54E-04 batr LA 4.37E-04 2.82E-04 bidd ME 6.04E-04 2.91E-04 birm AL 3.62E-04 2.50E-04 bost MA 6.89E-04 2.67E-04 buff NY 3.33E-043.13E-04 cdrp IA 5.06E-043.04E-04 char NC 5.57E-04 2.94E-04 chic IL 5.12E-04 2.66E-04 cinc OH 4.13E-04 2.69E-04 clev OH 4.35E-043.08E-04 clmg GA 2.85E-04 2.75E-04 clmo OH 1.88E-04 2.82E-04 colo CO 3.61E-04 2.72E-04 corp TX 2.40E-043.28E-04 covt RI 3.15E-04 2.95E-04 day t OH 5.24E-043.16E-04 dc DC 4.44E-04 2.87E-04 denv CO 3.86E-043.11E-04 desm IA 5.76E-043.12E-04 det MI 3.31E-04 2.59E-04 dlft TX 4.62E-04 2.99E-04 elpa TX 5.40E-043.33E-04 fres CA 2.86E-04 2.82E-04 ftwa IN 5.40E-043.01E-04 gdrp MI 3.45E-043.17E-04 hono HI 8.58E-043.44E-04 hous TX 4.42E-043.02E-04 hunt AL 3.37E-043.30E-04 indi IN 5.41E-043.11E-04 jcks MS 5.51E-043.13E-04 jckv FL 8.84E-05 3.33E-04 jers NJ 2.31E-043.06E-04 john PA 3.13E-043.07E-04 kan MO 4.57E-043.04E-04 kans KS 3.11E-043.12E-04 knox TN 2.98E-043.04E-04 la CA 4.17E-04 2.96E-04lafy LA 3.93E-04 2.98E-04

lasv NV 4.60E-043.10E-04 lex KY 3.20E-043.24E-04 linc NE 4.14E-043.19E-04 lkch LA 4.00E-04 2.93E-04 loui KY 3.83E-043.18E-04 ltrk AR 2.87E-043.05E-04

madi WI 4.53E-043.05E-04

memp TN 4.31E-043.17E-04 miam FL 3.15E-043.15E-04 milw WI 4.61E-043.08E-04

mobi AL 4.74E-043.02E-04

mode CA 4.52E-043.16E-04

musk MI 3.60E-04 2.95E-04 nash TN 3.25E-043.26E-04

no LA 4.10E-043.29E-04 nwk NJ 6.30E-043.27E-04 ny NY 5.28E-043.19E-04 oakl CA 4.13E-043.16E-04 okla OK 3.50E-043.26E-04

oma NE 5.36E-043.27E-04 orla FL 4.03E-04 2.90E-04 phil PA 3.74E-043.22E-04 phoe AZ 5.22E-043.35E-04 pitt PA 4.00E-043.36E-04 port OR 2.45E-043.27E-04 prov RI 5.64E-043.23E-04 ral NC 5.20E-04 2.99E-04 rive CA 2.77E-043.23E-04 roch NY 3.97E-043.25E-04

sacr CA 4.24E-04 2.98E-04 salt UT 3.67E-043.12E-04

sana TX 6.11E-043.27E-04 sanb CA 2.85E-043.29E-04 sand CA 4.38E-043.35E-04 sanj CA 3.37E-043.07E-04 seat WA 4.63E-043.31E-04 shr LA 3.27E-043.20E-04 spok WA 5.20E-043.04E-04 staa CA 2.51E-043.23E-04 stlo MO 4.11E-043.14E-04 stoc CA 2.29E-043.00E-04 stpe FL 3.18E-043.19E-04 syra NY 4.94E-043.29E-04 taco WA 4.19E-04 2.88E-04 tamp FL 3.92E-043.03E-04 tole OH 3.83E-043.02E-04tucs AZ 4.00E-043.28E-04

tuls OK 3.63E-043.25E-04 wich KS 4.51E-043.20E-04

wor MA 4.74E-043.14E-04Percent increase per 15 ppb increase in daily 8-hr max: These results: 0.636% (0.408-0.865%) Bell et al. JAMA 2004: 0.64% (0.41-0.86%)**Timeframe:**1987-2000

**O3 metric:**Daily 8-hour maximum **Lag:**L06 (using constrained distributed lag) **Dataset:**NMMAPS **Time of year:**yearly data (although most monitors only have data for the "O3 season") **Model and methods:**Constrained distributed lag model of Bell et al. JAMA 2004 paper. Bayesian results from the process that generated the overall 8-hour max results presented in the JAMA 2004 paper.Bayesian results from the process that generated the overall 8-hour max results presented in the JAMA 2004 paper.