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Table 4 Comparison the LASSO and Ridge regression methods with Elastic Net regression

From: A 19-Gene expression signature as a predictor of survival in colorectal cancer

 

Univariate

Multivariate

 

HR (95 % CI)

P

HR (95 % CI)

P

Datasets

Methods

    

Lasso

0.106 (0.030 – 0.370)

0.000

0.063 (0.016 – 0.252)

0.000

Our dataset

Ridge

0.812 (0.303 – 2.173)

0.000

0.083 (0.022 – 0.321)

0.000

Elastic net

0.065 (0.014 – 0.287)

0.000

0.040 (0.008 – 0.198)

0.000

Denmark dataset

Lasso

0.055 (0.007 – 0.453)

0.007

0.044 (0.005 – 0.396)

0.005

Ridge

0.112 (0.024 – 0.519)

0.005

0.080 (0.014 – 0.467)

0.005

Elastic net

0.057 (0.007 – 0.464)

0.007

0.038 (0.004 – 0.389)

0.005

Australian dataset

Lasso

0.565 (0.396 – 0.805)

0.002

0.549 (0.384 – 0.784)

0.001

Ridge

0.447 (0.312 – 0.641)

0.000

0.454 (0.316 – 0.651)

0.000

Elastic net

0.523 (0.370 – 0.739)

0.000

0.529 (0.373 – 0.748)

0.000

USA dataset

Lasso

0.105 (0.010 – 1.068)

0.056

0.104 (0.010 – 1.052)

0.055

Ridge

0.130 (0.013 – 1.294)

0.082

0.129 (0.013 – 1.283)

0.081

Elastic net

0.120 (0. 012 – 1.195)

0.071

0. 122 (0. 012 – 1.214)

0. 072

Norway dataset

Lasso

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Ridge

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Elastic net

0.536 (0.300 – 0.957)

0.035

0.569 (0.318 – 1.018)

0.057

  1. This table shows the comparison with the LASSO, Ridge regression and Elastic Net methods for 19 gene signatures based on our dataset and other external datasets from different countries. Univariate and multivariate Cox’s proportional hazard model analysis of prognostic factor (prognostic index or risk score) for overall survival
  2. [Relevant location: Page 16]