双侧共形化生存分析
Two-sided conformalized survival analysis
AI总结：
本文提出一种共形预测方法，为右删失数据生成双侧或单侧生存时间预测区间，提供有限样本覆盖保证，并在合成与真实数据上验证性能。
摘要：
本文提出了一种共形预测程序，用于在存在右删失的情况下生成生存时间的双侧或单侧预测区间。具体而言，该方法为被判定为与未删失人群足够相似的个体提供双侧预测边界，而对其他个体则返回下预测边界。预测区间提供有限样本覆盖保证，除样本数据点独立同分布外，无需任何分布假设。该程序的性能和有效性在合成数据集和真实数据集上均进行了评估。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
