Comparison of Statistical Methods for Pretest–Posttest Designs in Terms of Type I Error Probability and Statistical Power

DOI10.1080/03610918.2013.775295zbMath1328.62472OpenAlexW2061156297MaRDI QIDQ5252827

Dejian Lai, Xionghua Wilson Wu

Publication date: 3 June 2015

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.775295

zbMATH Keywords

type I errorstatistical poweranalysis of covariancenormal score transformationHuber M-estimationpretest-posttest design

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Analysis of variance and covariance (ANOVA) (62J10)

Cites Work

• High breakdown-point and high efficiency robust estimates for regression
• Robust regression: Asymptotics, conjectures and Monte Carlo
• The Future of Data Analysis
• A Biometrics Invited Paper with Discussion. Some Aspects of Analysis of Covariance
• Robust regression using iteratively reweighted least-squares
• Robust Estimation of a Location Parameter
• The Large-Sample Power of Tests Based on Permutations of Observations

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