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Advances in survival analyses: machine learning methods and model comparison

2026/04/29 by Ryan Gately, Dharshana Sabanayagam, Wai H Lim +5 · 1 voice
Mathematics · Business, Management and Accounting · Medicine · #Statistical Methods and Inference #Financial Distress and Bankruptcy Prediction #Sepsis Diagnosis and Treatment

paper · doi:10.1016/j.kint.2026.02.041

openalex publication_date 2026/04/29 · openalex created_date 2026/05/02 · openalex updated_date 2026/06/24

Abstract

This is the second article in a 2-part series on survival analysis. In part 1, we discussed the core concepts and traditional methods used in survival analysis. Part 2 explores the novel approaches to predict survival outcomes and evaluate model performance. To facilitate hands-on learning and practical implementation, the R code used in these analyses is provided in the supplementary materials, along with instructions to help readers apply these methods to their data.

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