A propensity score-integrated approach for leveraging external data in a randomized controlled trial with time-to-event endpoints

被引:0
|
作者
Chen, Wei-Chen [1 ]
Lu, Nelson [1 ]
Wang, Chenguang [2 ]
Li, Heng [1 ]
Song, Changhong [1 ]
Tiwari, Ram [3 ]
Xu, Yunling [1 ]
Yue, Lilly Q. [1 ,4 ]
机构
[1] US FDA, Div Biostat, Ctr Devices & Radiol Hlth, Silver Spring, MD USA
[2] Regeneron Pharmaceut, Tarrytown, NY USA
[3] Bristol Myers Squibb, Lawrence Township, NJ USA
[4] US FDA, Div Biostat, Ctr Devices & Radiol Hlth, 10903 New Hampshire Ave, Silver Spring, MD 20993 USA
关键词
log-rank test; PSKM; RMST; survival function; time-to-event; NONRANDOMIZED MEDICAL DEVICE; BIAS; SUBCLASSIFICATION; DESIGN;
D O I
10.1002/pst.2377
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
In a randomized controlled trial with time-to-event endpoint, some commonly used statistical tests to test for various aspects of survival differences, such as survival probability at a fixed time point, survival function up to a specific time point, and restricted mean survival time, may not be directly applicable when external data are leveraged to augment an arm (or both arms) of an RCT. In this paper, we propose a propensity score-integrated approach to extend such tests when external data are leveraged. Simulation studies are conducted to evaluate the operating characteristics of three propensity score-integrated statistical tests, and an illustrative example is given to demonstrate how these proposed procedures can be implemented.
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页数:17
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