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<p>Motivated by a breast cancer study, we consider the analysis of interval-censored failure time data in the presence of a cure fraction. Although a great deal of literature has been established for the analysis of interval-censored data with cure fractions, there is no established method that adequately handles the limited sample size issue. Corresponding to this, we propose a transfer learning approach under the proportional hazards mixture cure models for interval-censored data with the aim to transfer the information from the informative auxiliary samples in a larger cohort to improve the performance of the target regression analysis. To assess the proposed method, an extensive simulation study is performed and suggests that it works well in practical situations. Furthermore, we apply the method to the breast cancer study with the focus on Black women by leveraging the data of other racial women and obtain the improved results.</p>

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Enhancing Proportional Hazards Mixture Cure Models with Transfer Learning for Interval-Censored Data

  • 期刊论文

  • 发表日期：

    2025年9月10日

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  • Yichen Lou,
  • Jianguo Sun,
  • Peijie Wang,
  • Shishun Zhao

摘要

Motivated by a breast cancer study, we consider the analysis of interval-censored failure time data in the presence of a cure fraction. Although a great deal of literature has been established for the analysis of interval-censored data with cure fractions, there is no established method that adequately handles the limited sample size issue. Corresponding to this, we propose a transfer learning approach under the proportional hazards mixture cure models for interval-censored data with the aim to transfer the information from the informative auxiliary samples in a larger cohort to improve the performance of the target regression analysis. To assess the proposed method, an extensive simulation study is performed and suggests that it works well in practical situations. Furthermore, we apply the method to the breast cancer study with the focus on Black women by leveraging the data of other racial women and obtain the improved results.