Table 4 |
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|
Modelling the prevalence of asbestosis using logistic regression |
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| Model 1 |
Model 2 |
|||||
|
|
||||||
| OR |
95%CI |
p |
OR |
95%CI |
p |
|
|
|
||||||
| Time since first exposure (y) |
1.03 |
1.00, 1.06 |
0.038 |
|||
| Mean exposure (f/ml) |
1.09 |
1.04, 1.14 |
<0.001 |
|||
| Cumulative exposure (10 y.f/ml) |
1.03 |
1.01, 1.04 |
0.001 |
|||
| Age (y) |
1.07 |
1.03, 1.11 |
<0.001 |
|||
| Akaike Information Criterion |
446.0 |
427.9 |
||||
| Model: Log(P/1-P)= |
-4.22+0.031 TSFE(y) +0.0027 cum expo (y.f/ml) |
-7.55+ 0.088 mean expo (f/ml) +0.068 age(y) |
||||
|
|
||||||
|
OR: Odds Ratio by exposure unit 95%CI: 95% Confidence Intervals p: p-value of a test of a zero coefficient P: Prevalence of asbestosis TSFE: Time Since First Exposure. |
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|
Paris et al. Environmental Health 2008 7:30 doi:10.1186/1476-069X-7-30 |
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