Table 2 Logistic regression analysis of factors associated with not receiving treatment (OR > 1 means first factor is associated with a higher odds of not receiving treatment)

Elderly vs. Non-Elderly

2.13

2.07–2.20

< 0.0001

1.97

1.90–2.03

< 0.0001

Female vs. male

1.13

1.10–1.17

< 0.0001

1.13

1.09–1.16

< 0.0001

White vs. non-white

0.91

0.87–0.95

< 0.0001

0.84

0.80–0.87

< 0.0001

Academic vs. non-academic

0.93

0.90–0.96

< 0.0001

0.98

0.94–1.01

0.1751

Private vs. non-private insurance

0.56

0.54–0.58

< 0.0001

0.77

0.75–0.81

< 0.0001

Median income (≥$48,000 vs. <$48,000)

1.07

1.04–1.10

< 0.0001

1.06

1.03–1.10

0.0002

County location (Metropolitan vs. non-metropolitan)

1.03

0.99–1.07

0.1080

–

–

–

Clinical stage IIIB vs. stage IIIA

0.97

0.94–1.00

0.0406

1.02

0.99–1.05

0.2312

Distance to closest facility^a

0.98

0.97–0.99

0.0006

1.01

1.00–1.02

0.1479

Charlson-Deyo score (1 vs. 0)

1.40

1.35–1.44

< 0.0001

1.33

1.29–1.37

< 0.0001