Applications of covariate adjusted nonparametric methods to CCTRN clinical trials. Issue 4 (2nd October 2022)

• Record Type: Journal Article
• Authors: Ye, Jiabu; Lai, Dejian; Moye, Lemuel A.; Davis, Barry R.
• Is Part Of: Communication in statistics. Volume 8:Issue 4(2022)
• Page Start: 728
• Page End: 737
• Publication Date: 2022-10-02
• Subjects: Cell therapy -- clinical trials -- covariate adjustment -- nonparametric tests; Mathematical statistics -- Data processing -- Periodicals; 519.505
• DOI: 10.1080/23737484.2022.2126414
• Languages: English
• ISSNs: 2373-7484

Abstract

Abstract: CCTRN is a Cardiovascular Cell Therapy Research Network. There were three randomized double blinded controlled stem cell clinical trials conducted in its first phase. The main results of these three clinical trials were published with conventional parametric models such as T test and nonparametric test such as Wilcoxon rank sum test without adjusting covariates. In this article, we conducted further analysis of the primary outcomes of these studies using a class of covariate adjusted nonparametric methods.