TABLE 2.
Validation of each variable using multifactorial Cox regression based on coefficients and lambda.1se values from LASSO regression on the training set.
Characteristics | LASSO regression | Multifactorial COX regression analyze | |||
---|---|---|---|---|---|
Coefficients | λ.1se | Hazard ratio | 95% CI | p-value | |
Age | 0.064199506 | 0.024149 | 1.079 | (1.074,1.084) | <0.001 |
Monocyte | 0.079371971 | 1.619 | (1.314,1.995) | <0.001 | |
Neutrophil | 0.061652841 | 1.092 | (1.072,1.113) | <0.001 | |
Albumin | −0.033333818 | 0.939 | (0.926,0.953) | <0.001 | |
Potassium | 0.092171986 | 1.339 | (1.193,1.503) | <0.001 | |
Cardiovascular disease | 0.453366023 | 1.696 | (1.542,1.865) | <0.001 | |
Diabetes | 0.060332001 | 1.213 | (1.089,1.351) | <0.001 | |
Creatinine | 0.001711841 | 1.002 | (1.001,1.003) | <0.001 | |
HbA1c | 0.001873895 | 1.059 | (1.001,1.120) | 0.044 |
Coefficients: coefficients of each variable in LASSO, regression; Lambda.1se: lambda value of the simplest model within a variance of the mean value of the minimum target parameter.