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  4. Comparison of two treatments on a covariate variable
 
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Comparison of two treatments on a covariate variable

Journal
Journal of Biopharmaceutical Statistics
Journal Volume
30
Journal Issue
4
Pages
649-661
Date Issued
2020
Author(s)
Lin, Tsai-Yu
CHEN-TUO LIAO  
Li, Chi-Rong
Tsai, Jia-Ren
Liu, Yun-Tung
DOI
10.1080/10543406.2020.1730879
URI
https://www.scopus.com/inward/record.url?eid=2-s2.0-85081725061&partnerID=40&md5=4fa7b4360206deaf6b604ce3d8610c69
https://scholars.lib.ntu.edu.tw/handle/123456789/533895
Abstract
In clinical trials, the efficacy of treatment might be dependent on the value of a covariate variable. Therefore, it might be possible to detect the region over the covariate variable where the two treatments under investigation do not have significantly different efficacy or the region of superiority of one treatment. The non-significant region can be verified to be a confidence interval for the abscissa of the intersection point of two regression lines, and each of the complementary regions of the confidence interval corresponds to a region of superiority. In this study, we develop a method of constructing the confidence interval based on the concept of a generalized pivotal quantity, so as to perform the task of detecting the possible three regions for a clinical trial. Two real-world examples are given to illustrate the application of our proposed method, and a simulation study is conducted to evaluate its performance.
SDGs

[SDGs]SDG3

Type
journal article

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