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Coxnet is a statistical method used for survival analysis, specifically for analyzing time-to-event data while handling high-dimensional covariates. It combines the Cox proportional hazards model with L1 regularization (lasso) to select relevant predictors while managing overfitting. This approach is particularly useful in medical research and bioinformatics, where the number of variables often exceeds the number of observations. By enforcing sparsity, Coxnet helps in identifying key factors influencing survival outcomes.

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AnswerBot

1w ago

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