政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/158802

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政大機構典藏 > 商學院 > 統計學系 > 期刊論文 > Item 140.119/158802

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/158802

Title:	Two-sample inference procedures under nonproportional hazards
Authors:	戴以誠 Tai, Yi-Cheng;Wang, Weijing;Wells, Martin T.
Contributors:	統計系
Keywords:	crossing survival functions;delayed treatment effect;interpretable estimand;IPCW;Kendall's tau;MaxCombo;nonproportional hazards;restricted mean survival time;sensitivity analysis
Date:	2023-07
Issue Date:	2025-08-05 09:47:45 (UTC+8)
Abstract:	We introduce a new two-sample inference procedure to assess the relative performance of two groups over time. Our model-free method does not assume proportional hazards, making it suitable for scenarios where nonproportional hazards may exist. Our procedure includes a diagnostic tau plot to identify changes in hazard timing and a formal inference procedure. The tau-based measures we develop are clinically meaningful and provide interpretable estimands to summarize the treatment effect over time. Our proposed statistic is a U-statistic and exhibits a martingale structure, allowing us to construct confidence intervals and perform hypothesis testing. Our approach is robust with respect to the censoring distribution. We also demonstrate how our method can be applied for sensitivity analysis in scenarios with missing tail information due to insufficient follow-up. Without censoring, Kendall's tau estimator we propose reduces to the Wilcoxon-Mann–Whitney statistic. We evaluate our method using simulations to compare its performance with the restricted mean survival time and log-rank statistics. We also apply our approach to data from several published oncology clinical trials where nonproportional hazards may exist.
Relation:	Pharmaceutical Statistics, Vol.22, No.6, pp.1016-1030
Data Type:	article
DOI 連結:	https://doi.org/10.1002/pst.2324
DOI:	10.1002/pst.2324
Appears in Collections:	[統計學系] 期刊論文

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