Internet Archive Scholar

"Exact and approximate power and sample size calculations for analysis of covariance in randomized clinical trials with or without stratification" by Yongqiang Tang

Yongqiang Tang
2019 Statistics in Biopharmaceutical Research  

Preserved Fulltext

Web Archive Capture PDF (102.2 kB)
https://web.archive.org/web/20200321010442/https://arxiv.org/pdf/2001.04013v1.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL. The file type is application/pdf.

Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:

2020 pre-print arXiv:2001.04013v1 fatcat:uuyykph3fzhujkox7g77vqirmq
Tang derived the exact power formulae for t tests and analysis of covariance (ANCOVA) in superiority, noninferiority and equivalence trials. The power calculation in equivalence trials can be simplified by using Owen's Q function, which is available in standard statistical software. We extend the exact power determination method for ANCOVA to unstratified and stratified multi-arm randomized trials. The method is applied to the design of multi-arm trials and gold standard noninferiority trials.
doi:10.1080/19466315.2019.1707110 fatcat:lxakmj3jgrdaddb5t7yibj2y2u
Multiple Versions
Citation

Yongqiang Tang. ""Exact and approximate power and sample size calculations for analysis of covariance in randomized clinical trials with or without stratification" by Yongqiang Tang." Statistics in Biopharmaceutical Research 12.3 (2019) 1-7