Table 7.
Logistic regression models for 12 pooled microarray data sets as the external validation of colorectal cancer -associated genes from three studies
|
Model 1 |
Model 2 |
Model 3 |
|||||||
| B | S.E. | P value | B | S.E. | P value | B | S.E. | P value | |
| Five selected genes of this study: | |||||||||
| MDM2 | 6.069 | 1.461 | < 0.001 | ||||||
| DUSP6 | 1.360 | 0.235 | < 0.001 | ||||||
| CPEB4 | -3.177 | 0.383 | < 0.001 | ||||||
| MMD | 0.335 | 0.442 | 0.448 | ||||||
| EIF2S3 | 1.462 | 0.244 | < 0.001 | ||||||
| Seven selected genes of Marshall et al[14] | |||||||||
| ANXA3 | 0.559 | 0.212 | 0.008 | ||||||
| CLEC4D | 46.259 | 9.918 | < 0.001 | ||||||
| LMNB1 | 1.883 | 0.330 | < 0.001 | ||||||
| PRRG4 | -1.284 | 0.371 | 0.001 | ||||||
| TNFAIP6 | 1.787 | 0.377 | < 0.001 | ||||||
| VNN1 | 0.207 | 0.159 | 0.194 | ||||||
| IL2RB | 0.269 | 0.216 | 0.213 | ||||||
| Five selected genes of Han et al[15] | |||||||||
| CDA | -0.496 | 0.090 | < 0.001 | ||||||
| MGC20553 | -1.386 | 0.197 | < 0.001 | ||||||
| BANK1 | 0.565 | 0.373 | 0.129 | ||||||
| BCNP1 | -0.944 | 1.148 | 0.411 | ||||||
| MS4A1 | -1.483 | 0.457 | 0.001 | ||||||
| Constant | -32.758 | 6.001 | < 0.001 | -124.678 | 25.437 | < 0.001 | 16.601 | 2.995 | < 0.001 |
| H-L | 0.460 | 0.044 | 0.194 | ||||||
| R2 | 0.853 | 0.841 | 0.693 | ||||||
| AUC | 0.978 | 0.985 | 0.957 | ||||||
| Accuracy | 0.949 | 0.974 | 0.939 | ||||||
| Specificity | 0.818 | 0.886 | 0.716 | ||||||
| Sensitivity | 0.971 | 0.988 | 0.977 | ||||||
Model 1: Five selected genes of this study; Model 2: Seven selected genes of Marshall et al[14]; Model 3: Five selected genes of Han et al[15]; B: Logistic regression coefficient beta; SE: Standard error of B; P: P value with statistical significance; H-L: Hosmer and Lemeshow test P value R2: Nagelkerke R Square; AUC: Area under ROC.