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Survival analysis evaluation metrics criticized in new position paper

By PulseAugur Editorial · [1 sources] ·

A new position paper published on arXiv critiques the prevalent use of the C-index metric in survival analysis, arguing that it often misaligns with the actual modeling objectives and can be misleading due to implicit censoring assumptions. The authors propose a 'double-helix ladder' framework to ensure evaluation metrics are aligned with modeling assumptions, emphasizing that proper evaluation is crucial for accurate model comparisons. The paper offers practical guidance for researchers on how to select and apply appropriate evaluation metrics in survival analysis. AI

RANK_REASON The cluster contains an academic paper discussing methodology and proposing new evaluation practices for a specific field of statistics. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.LG →

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Survival analysis evaluation metrics criticized in new position paper

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The cluster contains an academic paper discussing methodology and proposing new evaluation practices for a specific field of statistics. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Christian Marius Lillelund, Shi-ang Qi, Russell Greiner, Christian Fischer Pedersen ·

    Position: Stop Chasing the C-index when Evaluating Survival Analysis Models

    arXiv:2506.02075v2 Announce Type: replace-cross Abstract: The current state of evaluation in survival analysis is plagued by the persistent use of evaluation metrics in ways that are misaligned with the stated modeling objective. In addition, many such evaluations are based on ce…

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