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Table 3 Ordinary Sensitivity Analysis for the Garshick et al. study [18].

From: Risk assessment of diesel exhaust and lung cancer: combining human and animal studies after adjustment for biases in epidemiological studies

RRsmoking c Inonexp d Iexp e bias factorf RRadj g 95% C.I.
14 6.317I0 h 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
  1. Adjusted lung cancer rate ratios for several scenarios about the RR for ever smokers vs.
  2. no-smokers, assuming RRobs a = 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.
  3. a RRobs: observed risk ratio
  4. b DE: diesel exhaust
  5. c RRsmoking: risk ratio of smokers vs. non-smokers
  6. d Inonexp: lung cancer mortality rate of non-DE exposed workers due to smoking
  7. e Iexp: lung cancer mortality rate of DE exposed workers due to smoking
  8. f bias factor = Iexp/Inonexp
  9. g RRadj: adjusted risk ratio
  10. h I0: lung cancer mortality rate of non-smokers