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©The Author(s) 2023.
World J Gastrointest Oncol. Jan 15, 2023; 15(1): 112-127
Published online Jan 15, 2023. doi: 10.4251/wjgo.v15.i1.112
Published online Jan 15, 2023. doi: 10.4251/wjgo.v15.i1.112
Figure 2 Variables selection using least absolute shrinkage and selection operator binary logistic regression analysis.
A: Least absolute shrinkage and selection operator (LASSO) coefficient of the 23 variables associated with metachronous peritoneal metastasis; B: Optimal parameter (λ) was obtained using 10-fold cross-validation and minimum criteria. When the minimum λ was 0.031, six nonzero coefficients were selected by LASSO regression. LASSO: Least absolute shrinkage and selection operator.
- Citation: Ban B, Shang A, Shi J. Development and validation of a nomogram for predicting metachronous peritoneal metastasis in colorectal cancer: A retrospective study. World J Gastrointest Oncol 2023; 15(1): 112-127
- URL: https://www.wjgnet.com/1948-5204/full/v15/i1/112.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v15.i1.112