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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