Table 2. Summary of the optimal best subset model for each cancer.
The weighted mean and standard deviation for each cancer incidence is reported. For each optimal best subset model, the number of counties (n) and predictors (size) as well as the R2 is indicated. The elevation p-value (one-tailed test for coefficient negativity) is denoted along with three versions of the elevation coefficient: unstandardized (β), standardized (βz), and as a percentage of mean incidence (β%).
| Incidence | Model | Elevation | ||||||
|---|---|---|---|---|---|---|---|---|
| Cancer | Mean (sd) | n | Size | R 2 | p-value | β | βz | β % |
| Lung | 56.8 (14.4) | 253 | 5 | 70.2% | 1.34× 10−17 | −7.23 | −0.35 | −12.7% |
| [−9.29, −5.18] | [−0.46, −0.25] | [−16.35, −9.11]% | ||||||
| Breast | 119.3 (16.7) | 243 | 6 | 56.8% | 3.22× 10−03 | −3.63 | −0.15 | −3.0% |
| [−7.06, −0.20] | [−0.30, −0.01] | [−5.92, −0.17]% | ||||||
| Colorectal | 41.9 (6.0) | 243 | 5 | 34.1% | 0.883 | 0.65 | 0.08 | 1.5% |
| [−0.76, 2.06] | [−0.09, 0.24] | [−1.82, 4.92]% | ||||||
| Prostate | 148.6 (23.9) | 259 | 4 | 18.9% | 0.974 | 4.71 | 0.14 | 3.2% |
| [−1.56, 10.97] | [−0.05, 0.33] | [−1.05, 7.38]% | ||||||