arXiv (All)
open access
Proper Scoring Rules for Right-Censored Survival Data
Proper scoring rules provide a rigorous theoretical basis for the training and evaluation of probabilistic forecasts. In survival analysis, such forecasts describe the distribution of the time until an event occurs. However, this event time is often only partially observed because follow-up may end
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Advanced Modeling of the Evolution of the Epidemiological Outbreak of SARS-CoV-2 Pandemic#906812
- Falling Trees: A Model Class for Interpretable Risk Prioritization#1049515
- Forecastability of infectious disease time series: are some seasons and pathogens intrinsically more difficult to forecast?#125401
- Comparison of Scores for Early Brain Damage Assessment at Intensive Care Unit Admission After Cardiac Arrest#1093844
- Win-Ratio Regression for Prioritized Composite Outcomes in Observational Studies: Doubly Robust and Efficient Estimation with Future-Score Correction#1077932
Record · ID 1105077
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive