A Meta-Learner Framework to Estimate Individualized Treatment Effects for Survival Outcomes

• Published in: Journal of Data Science Vol. 22; no. 4; pp. 505 - 523
• Main Authors: Bo, Na, Wei, Yue, Zeng, Lang, Kang, Chaeryon, Ding, Ying
• Format: Journal Article
• Language: English
• Published: 中華資料採礦協會 01.10.2024
• Subjects: individualized treatment effect; precision medicine; randomized clinical trials; survival outcomes; age-related macular degeneration

One crucial aspect of precision medicine is to allow physicians to recommend the most suitable treatment for their patients. This requires understanding the treatment heterogeneity from a patient-centric view, quantified by estimating the individualized treatment effect (ITE). With a large amount of...