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Two-sided conformalized survival analysis

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arxiv 2410.24136 v2 pith:TPEBH2ZL submitted 2024-10-31 stat.ME

Two-sided conformalized survival analysis

classification stat.ME
keywords predictiontwo-sidedintervalspredictiveproceduresurvivalanalysisassumptions
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This paper presents a conformal prediction procedure to generate two-sided or one-sided prediction intervals for survival times in the presence of right censoring. Specifically, the method provides two-sided predictive bounds for individuals deemed sufficiently similar to the uncensored population, while returning a lower predictive bound for others. The prediction intervals offer finite-sample coverage guarantees, requiring no distributional assumptions other than the sampled data points are independent and identically distributed. The performance and validity of the procedure is evaluated on both synthetic and real-world datasets.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Conformal Prediction for Regression with Clipped Outcomes

    stat.ME 2026-07 conditional novelty 7.0

    New conformal methods ClipCQR and ClipCQR+ provide tight marginal and improved conditional coverage for regression with doubly clipped outcomes, converging to a snapped oracle under consistency.

  2. Isotonic Survival Regression: Calibrated Survival Distributions from Deep Cox Models

    stat.ML 2026-05 unverdicted novelty 5.0

    Post-hoc isotonic regression calibration for deep Cox survival models that improves calibration with theoretical guarantees including double-robustness and asymptotic calibration.