急性胰腺炎（AP）致死率高且缺乏精准预后工具。本研究针对 AP 患者 30 天 mortality 风险，利用 LASSO logistic regression 筛选出年龄、APTT、DBIL 等 6 个独立预测因子，构建 nomogram 模型（AUC=0.862），经 DCA 验证具临床价值，为早期风险分层提供新工具。 急性胰腺炎（Acute ...

The purpose of statistical model selection is to identify a parsimonious model, which is a model that is as simple as possible while maintaining good predictive ability over the outcome of interest.

We consider regression scenarios where it is natural to impose an order constraint on the coefficients. We propose an order-constrained version of ℓ₁-regularized regression (Lasso) for this problem, ...