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Sample Sizes Using Hochberg's Procedure for Two Comparisons with Three Different Study Designs.

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This summary is machine-generated.

This study determines sample sizes for Hochberg

Keywords:
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Area of Science:

  • Biostatistics
  • Statistical Methods
  • Clinical Trial Design

Background:

  • Simultaneous comparisons require controlling the overall Type I Error rate.
  • Hochberg's stepwise testing procedure is a common method for this control.
  • Accurate sample size determination is crucial for study power.

Purpose of the Study:

  • To determine sample sizes for two pairwise comparisons using Hochberg's procedure.
  • To address three distinct scenarios: baseline criterion subsets, treatment-control comparisons, and nested subjects.
  • To compare Hochberg's procedure with the Bonferroni approach for sample size and power.

Main Methods:

  • Calculated sample sizes for normal distributions under three scenarios.
  • Utilized asymptotic normality for binomial distribution success probabilities.
  • Compared sample sizes and power between Hochberg's and Bonferroni methods.

Main Results:

  • Sample size solutions vary across the three examined scenarios.
  • Provided sample size calculations for binomial distributions.
  • Demonstrated differences in sample size and power compared to Bonferroni.

Conclusions:

  • Effective sample size determination for Hochberg's procedure depends on the specific comparison scenario.
  • The study offers practical guidance for researchers designing studies with multiple comparisons.
  • Understanding these differences aids in optimizing study design and resource allocation.