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New research questions survival model evaluation methods

By PulseAugur Editorial · [1 sources] ·

A new paper published on arXiv explores the properness of scoring rules in survival model evaluation, particularly under censoring. The research, led by Raphael Sonabend, introduces a concept of marginal properness and demonstrates that commonly used rules like SBS and ISBS can become improper with finite follow-up or cure fractions. The study highlights how these theoretical issues can lead to misleading comparisons between models, emphasizing the need for improved evaluation methods in survival analysis. AI

IMPACT Highlights potential flaws in evaluating AI models used in survival analysis, impacting the reliability of model comparisons.

RANK_REASON Academic paper on statistical theory for model evaluation. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New research questions survival model evaluation methods

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Academic paper on statistical theory for model evaluation. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · John Zobolas, Raphael Sonabend, Riccardo De Bin, Johannes Piller, Philipp Kopper, Lukas Burk, Andreas Bender ·

    When Are Scoring Rules Proper? Bridging Theory and Practice in Survival Model Evaluation

    arXiv:2212.05260v4 Announce Type: replace-cross Abstract: Proper scoring rules encourage probabilistic predictions that match the true underlying distribution and are central to model evaluation, with increasing relevance in automated workflows such as AutoML. In survival analysi…

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