標題: Appraising Minimum Effect of Standardized Contrasts in ANCOVA Designs: Statistical Power, Sample Size, and Covariate Imbalance Considerations
作者: Shieh, Gwowen
管理科學系
Department of Management Science
關鍵字: Analysis of covariance;Contrast;Power;Sample size;Standardized effect size
公開日期: 1-Jan-1970
摘要: The concepts and implementation of standardized mean differences and minimum effect tests have been emphasized in ANOVA. The corresponding processes and implications are, however, not yet well explicated in the context of ANCOVA. To enhance the usefulness of ANCOVA, this article describes the minimum effect tests of standardized contrast as a valuable alternative to the hypothesis testing of no effect difference and the conventional evaluation of unstandardized effects in ANCOVA. Power and sample size procedures are developed to accommodate covariate randomness and imbalance for randomized and nonrandomized designs. The data from a clinical study of comparing two treatments for gingivitis are used to illustrate the application of the suggested approaches. The emphases of numerical appraisal are on the merit of minimum effect detection in comparative analysis and the influence of covariate feature in power and sample size computation. The proposed power and sample size calculations improve upon approximate formulas by fully accounting for the stochastic property and intrinsic disparity of the covariate variables. Computer algorithms are available for calculating thep-value, power level, and sample size of one- and two-sided minimum effect tests.
URI: http://dx.doi.org/10.1080/19466315.2020.1788982
http://hdl.handle.net/11536/155133
ISSN: 1946-6315
DOI: 10.1080/19466315.2020.1788982
期刊: STATISTICS IN BIOPHARMACEUTICAL RESEARCH
起始頁: 0
結束頁: 0
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