Table 2.
Modelling the prevalence of pleural plaques using logistic regression
| Model 1 | Model 2 | |||||
| OR | 95%CI | p | OR | 95%CI | p | |
| Time since first exposure (y) | 1.075 | 1.059, 1.092 | <0.001 | 1.067 | 1.051, 1.083 | <0.001 |
| Mean exposure (f/ml) | 1.114 | 1.077, 1.153 | <0.001 | |||
| Cumulative exposure (10 y.f/ml) | 1.036 | 1.023, 1.049 | <0.001 | |||
| Akaike Information Criterion | 1228.0 | 1235.4 | ||||
| Model: Log(P/1-P)= | -3.22+0.072 TSFE (y) +0.108 mean expo (f/ml) | -2.83+0.065 TSFE (y) +0.0035 cum expo (y.f/ml) | ||||
OR: Odds Ratio by exposure unit
95%CI: 95% Confidence Intervals
p: p-value of a test of a zero coefficient
P: Prevalence of pleural plaques.