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. Author manuscript; available in PMC: 2014 Sep 1.
Published in final edited form as: Clin Lung Cancer. 2013 Jul 1;14(5):581–591. doi: 10.1016/j.cllc.2013.05.002

Table 5.

Multivariable Survival Analysis

Variable Multivariable Cox Regression 1* Multivariable Cox Regression 2$
H.R. 95% CI Wald test P value H.R. 95% CI Wald test P value
Gender 0.002 0.002
 Female 1.00 1.00
 Male 1.70 1.21 – 2.39 1.70 1.21 – 2.38
Smoking status 0.055 0.09
 Never smoker 1.00 1.00
 Ever smoker 1.64 0.99 – 2.71 1.60 0.93 – 2.76
ECOG PS 0.01 0.01
 0 1.00 1.00
 1 1.32 0.90 – 1.92 1.32 0.91 – 1.92
 2+ 2.09 1.28 – 3.42 2.09 1.28 – 3.42
Stage 0.36 0.36
 I 1.00 1.00
 II 0.78 0.32 – 1.90 0.78 0.32 – 1.89
 III 1.42 0.74 – 2.74 1.42 0.74 – 2.73
 IV 1.21 0.65 – 2.28 1.21 0.64 – 2.28
Bone Metastases 0.03 0.03
 No 1.00 1.00
 Yes 1.50 1.04 – 2.16 1.49 1.04 – 2.15
Age-weighted Comorbidity Index 1.16 1.06 – 1.26 0.001 1.16 1.06 – 1.26 0.001
EGFR Mutation (any) 0.85
 Positive 1.00
 Negative 1.06 0.59 – 1.92
*

Model 1: Best model by backward elimination based on 293 patients with data on 10 candidate variables selected by univariate significance p ≤ 0.10 (see Table 4). Stage was included in the model as an established prognostic factor, regardless of significance.

$

Model 2: EGFR mutation was added to Model 1. Clearly, it was not an independent prognostic factor due to strong collinearity with both smoking status and gender (see Table 2). The significance of smoking status was modified by the presence of EGFR mutation in the model.

HR = Hazard Ratio, CI = Confidence Interval