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. 2015 Dec 16;26(2):224–231. doi: 10.1038/jes.2015.77

Table 3. Exponential and linear models in Cox regression with unlagged cumulative Cr(VI) exposure.

Variables in model Exponential model Linear model
  Deviance β (mg/m3-years)−1
P-valuea Deviance β (mg/m3-years)−1
P-valuea
    MLE 95% CI     MLE 95% CI  
Cr(VI) 1248.10 0.22 (0.16, 0.28) <0.0001 1252.26 0.65 (0.28, 1.37) <0.0001
Cr(VI), smoking 1234.95 0.19 (0.12, 0.25) 0.001 1236.45 0.58 (0.22, 1.32) <0.0001
Cr(VI), smoking, age at hire 1223.14 0.17 (0.10, 0.24) 0.0006 1225.75 0.40 (0.12, 0.97) 0.001
Cr(VI), smoking, age at hire, years of exposure (continuous variable) 1222.48 0.15 (0.064, 0.23) 0.42 1225.34 0.29 (0.042, 1.03) 0.52
Cr(VI), smoking, age at hire, years of exposure (1–4, 4.1–7.9, ⩾8) 1222.83 0.16 (0.085, 0.23) 0.85 1225.60 0.37 (0.093, 1.11) 0.93
Cr(VI), smoking, age at hire, years of exposure (<3.9, 4.0–20.7, ⩾20.8) 1223.00 0.18 (0.092, 0.25) 0.93 1225.27 0.51 (0.118, 1.63) 0.79

Abbreviations: Cr(VI), cumulative exposure, mg/m3-years; MLE, maximum likelihood estimate.

a

P-values are for the bolded variables that are italicized.