“Exact and approximate power and sample size calculations for analysis of covariance in randomized clinical trials with or without stratification” by Yongqiang Tang
收藏DataCite Commons2020-08-26 更新2024-07-27 收录
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https://tandf.figshare.com/articles/_Exact_and_approximate_power_and_sample_size_calculations_for_analysis_of_covariance_in_randomized_clinical_trials_with_or_without_stratification_by_Yongqiang_Tang/11419368/1
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资源简介：
Tang (2018b,a) 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
提供机构：
Taylor & Francis
创建时间：
2019-12-20
