scientific article; zbMATH DE number 7307481

MaRDI QIDQ5149245

Sebastian Pölsterl

Publication date: 8 February 2021

Full work available at URL: https://jmlr.csail.mit.edu/papers/v21/20-729.html

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

survival analysiscensored dataPythontime-to-event analysis

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

Survival Regression with Accelerated Failure Time Model in XGBoost ⋮ Unnamed Item ⋮ scikit-survival

Uses Software

• Scikit
• Python
• Statsmodels
• GitHub
• pycox

Cites Work

• Unnamed Item
• Unnamed Item
• Random survival forests
• Nonparametric Estimation from Incomplete Observations
• Survival ensembles
• Estimation methods for time‐dependent AUC models with survival data

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