Establishing and Using Threshold of Surrogate Endpoint in Relation to Clinical Endpoint

被引:0
|
作者
Cheng, Yu-Chieh [1 ]
Tsou, Hsiao-Hui [1 ,2 ]
Hung, H. M. James [3 ]
Fan, Byron [4 ]
Fan, Brandon [5 ]
机构
[1] Natl Hlth Res Inst, Inst Populat Hlth Sci, 35 Keyan Rd, Zhunan 350, Miaoli County, Taiwan
[2] China Med Univ, Grad Inst Biostat, Coll Publ Hlth, Taichung, Taiwan
[3] US FDA, Div Biometr 1, OB CDER, Silver Spring, MD USA
[4] Brown Univ, Dept Appl Math, Providence, RI USA
[5] Richard Montgomery High Sch, Rockville, MD USA
关键词
Linear; Null hypothesis; Surrogate endpoint; Test statistic; Type I error rate;
D O I
10.1080/19466315.2024.2370405
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Clinical trials are an essential aspect of the drug development process. Clinical endpoints and surrogate endpoints are two terms used in clinical trials to measure the effectiveness of a treatment. While clinical endpoints typically require higher costs and longer durations of observation to show direct clinical benefits, surrogate endpoints have been introduced as a cheaper and faster method that may be used to predict clinical effects. When there is a linear relationship between the surrogate and the clinical endpoint, the surrogate may still need to rule out a threshold that corresponds to no clinical benefit. The determination of such a threshold uses the knowledge of numerous parameters in the bivariate statistical distribution of the clinical response and the surrogate. In our work, we present a concept of "working" threshold to incorporate statistical uncertainties in determination of such a threshold.
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页数:6
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