Jackson Dan, Sweeting Michael, Baker Rose
Statistical Innovation, AstraZeneca, Cambridge, UK.
Salford Business School, University of Salford, Salford, UK.
Pharm Stat. 2025 Mar-Apr;24(2):e2449. doi: 10.1002/pst.2449. Epub 2024 Oct 27.
'Treatment effect measures under nonproportional hazards' by Snapinn et al. (Pharmaceutical Statistics, 22, 181-193) recently proposed some novel estimates of treatment effect for time-to-event endpoints. In this note, we clarify three points related to the proposed estimators that help to elucidate their properties. We hope that their work, and this commentary, will motivate further discussion concerning treatment effect measures that do not require the proportional hazards assumption.
斯纳平等人所著的《非比例风险下的治疗效果测量》（《药物统计学》，第22卷，第181 - 193页）最近提出了一些针对事件发生时间终点的治疗效果新估计方法。在本注释中，我们阐明了与所提出的估计量相关的三点内容，这有助于阐明它们的性质。我们希望他们的工作以及本评论能激发关于不需要比例风险假设的治疗效果测量的进一步讨论。
