Skip to main content
. 2023 Jan 30;36(3):911–922. doi: 10.1007/s10278-023-00778-0

Table 2.

Univariable Cox regression analysis in the lung 1 training set

Feature Hazard ratio p-value Concordance
Original shape voxel volume 1.000e + 00 (1.00–1.00) 4.55e-06 *** 0.583 (se = 0.016)
Original shape major axis length 1.005061 (1.002–1.008) 0.000511 *** 0.582 (se = 0.016)
Original shape elongation 0.7160 ( 0.3848–1.332) 0.292 0.517 (se = 0.017)
Original gldm large dependence emphasis 1.003723 (1.001–1.006) 0.00109 ** 0.571 (se = 0.016)
Original first-order energy 1.000e + 00 (1.00–1.00) 0.00102 ** 0.564 (se = 0.017)
Original first-order minimum 1.0004024 (0.9994–1.001) 0.438 0.485 (se = 0.016)
Wavelet HLL glcm correlation 0.1036 (0.02072–0.5175) 0.00574 ** 0.549 (se = 0.016)
Wavelet HLL glszm GrayLevelNonUniformityNormalized 343.630 (13.11–9006) 0.000458 *** 0.551 (se = 0.016)
Wavelet LHL glcm MCC 3.4081 (1.102–10.54) 0.0332 * 0.525 (se = 0.016)
Wavelet LHL first-order skewness 0.77914 (0.6632–0.9154) 0.00241 ** 0.557 (se = 0.016)
Wavelet LHL ngtdm strength 0.93152 (0.8665–1.001) 0.0545 0.571 (se = 0.017)
Wavelet LHH first-order skewness 0.98459 (0.6937–1.398) 0.931 0.499 (se = 0.017)
Wavelet LHH first-order mean 0.88519 (0.7761–1.01) 0.0692 0.531 (se = 0.016)
Wavelet LLH glcm ClusterShade 1.000e + 00 (0.9999–1) 0.00642 ** 0.545 (se = 0.016)
Wavelet LLH first-order maximum 1.0005368 (1.00–1.001) 0.00134 ** 0.565 (se = 0.016)

* < 0.05, ** < 0.01, *** < 0.001