Abstract
When simultaneous comparisons are performed, a procedure must be employed to control the overall level (also known as the Type I Error rate). Hochberg's stepwise testing procedure is often used and here determination of the sample size needed to achieve a specified power for two pairwise comparisons when observations follow a normal distribution is addressed. Three different scenarios are considered: subsets defined by a baseline criterion, two treatments compared to a control, or one set of subjects nested within the other. The solutions for these three scenarios differ and are examined. The sample sizes for the differences in success probabilities for binomial distributions are presented using the asymptotic normality. The sample sizes and power using Hochberg's procedure are compared to the corresponding results using the Bonferroni approach.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
