June 27, 2024Open Access

Comparing Lasso and Adaptive Lasso in High-Dimensional Data: A Genetic Survival Analysis in Triple-Negative Breast Cancer

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Adaptive lasso improves variable selection, enhancing predictions in survival analysis of triple-negative breast cancer.
Key findings indicate significant variable determination, with an adaptive lasso method offering bias reduction.
Assessment using lasso and adaptive lasso regression techniques applies to high-dimensional genomic datasets for cancer research and analysis planning, showing promise for improved outcomes and effectiveness in predictions related to survival rates in complex datasets.

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Randomized trial evaluates variable selection methods improving survival analysis in triple-negative breast cancer, suggesting enhanced accuracy.

González-Barquero et al. (2024) studied this question.

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Randomized trial evaluates variable selection methods improving survival analysis in triple-negative breast cancer, suggesting enhanced accuracy.