Table 3.
Ordinary Sensitivity Analysis for the Garshick et al. study [18].
| RRsmokingc | Inonexpd | Iexpe | bias factorf | RRadjg | 95% C.I. |
|---|---|---|---|---|---|
| 14 | 6.317I0h | 7.123I0 | 1.128 | 1.242 | 1.153-1.339 |
| 15 | 6.726I0 | 7.594I0 | 1.129 | 1.240 | 1.151-1.337 |
| 16 | 7.135I0 | 8.065I0 | 1.130 | 1.239 | 1.150-1.336 |
| 17 | 7.544I0 | 8.536I0 | 1.131 | 1.237 | 1.149-1.335 |
| 18 | 7.953I0 | 9.007I0 | 1.133 | 1.236 | 1.148-1.333 |
| 19 | 8.362I0 | 9.478I0 | 1.133 | 1.235 | 1.147-1.332 |
Adjusted lung cancer rate ratios for several scenarios about the RR for ever smokers vs.
no-smokers, assuming RRobsa = 1.40 (95% C.I.: 1.30 - 1.51) for DEb exposure and smoking prevalence equal to 47.1% and 40.9% in the occupational cohort and the general population respectively.
a RRobs: observed risk ratio
b DE: diesel exhaust
c RRsmoking: risk ratio of smokers vs. non-smokers
d Inonexp: lung cancer mortality rate of non-DE exposed workers due to smoking
e Iexp: lung cancer mortality rate of DE exposed workers due to smoking
f bias factor = Iexp/Inonexp
g RRadj: adjusted risk ratio
h I0: lung cancer mortality rate of non-smokers