Table 2 Latencies, LRT, fitted parameters, ERR and bootstrap confidence intervals for the two-phase model
Site | Ï•mabs | Ï•m |
|
|
|
|
| ERR1 | ERR0.025 |
|---|---|---|---|---|---|---|---|---|---|
Stom | 11.89 | 11.89 | 21.19 | 19.64 | 0.46 | 120.01 | 82.67 | 0.46 (0.21, 0.80)bca (0.19, 0.79)per | 0.39 (0.15, 0.70)bca (0.15, 0.71)per |
Liver | 36.90 | 36.90 | 34.87 | 27.64 | 1.43 | 291.22 | 76.76 | 1.43 (0.70, 2.41)bca (0.72, 2.39)per | 1.10 (0.49, 1.90)bca (0.40, 1.88)per |
Lung | 36.99 | 13.60 | 16.04 | 14.74 | 0.44 | 37.90 | 4.46 | 0.88 (0.34, 1.50)bca (0.27, 2.07)per | 0.86 (0.40, 1.49)bca (0.32, 2.02)per |
Panc | 11.86 | 11.86 | 16.22 | 14.80 | 9.77 | 1060.94 | 43.77 | 9.77 (3.50a, 14.27)bca (1.72, 55.11)per | 9.12 (3.25b, 13.46)bca (1.49, 48.25)per |
Leuk | 23.66 | 23.66 | 25.40 | 25.29 | 1.69 | 3353.15 | 172.25 | 1.69 (0.20, 4.81)bca (0.19, 4.77)per | 1.17 (0.18, 3.58)bca (0.24, 3.79)per |
- Ï•mabs: latency (years) which maximises LRT 2p-con
- ϕm: optimal latency, which maximises LRT 2p-con with the constraint ERR1 ≥ 0
-
: Likelihood Ratio Test for the two-phase model against the control model at Ï•m
-
: Likelihood Ratio Test for the two-phase model against the linear model at Ï•m
-
: fitted parameters for the two-phase model at Ï•m
- ERR1 : Excess Relative Risk at 10 mSv (lagged by Ï•m), as estimated from the fitted two-phase model
- ERR0.025 : Excess Relative Risk at 0.25 mSv (lagged by Ï•m), as estimated from the fitted two-phase model
- bca Bootstrap BCa 95%CI (5000 bootstrap replications)
- per Bootstrap percentile 95%CI (1000 bootstrap replications)
- a : minimum bootstrap value, lower tail probability = 0.034
- b : minimum bootstrap value, lower tail probability = 0.024
: fitted parameters for the two-phase model at Ï•m