Sample size computation for designing multiple comparison experiments

DOI10.1016/0167-9473(88)90017-5zbMath0726.62129OpenAlexW2059130317MaRDI QIDQ804189

Jason C. Hsu

Publication date: 1988

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(88)90017-5

zbMATH Keywords

softwareconfidence intervalsF-testcomparisons with a controlmultiple comparisonsDunnett's methodsample size computationTukey's method

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Optimal statistical designs (62K05) Hypothesis testing in multivariate analysis (62H15) Paired and multiple comparisons; multiple testing (62J15)

Related Items (11)

SAMPLE SIZE DETERMINATION FOR MULTIPLE COMPARISONS WITH COMPONENTS OF A LINEAR FUNCTION OF MEAN VECTORS ⋮ On sample size determination of Dunnett's procedure for comparing several treatments with a control ⋮ Exact simultaneous confidence intervals for logical selection of a biomarker cut‐point ⋮ Fixed-width simultaneous confidence intervals for all-pairwise comparisons ⋮ A Two-Stage Minimax Decision Procedure for Selecting the Best ofkBinomial Processes or Populations ⋮ Adaptive confidence intervals of desired length and power for normal means ⋮ Multistage methodologies for comparing several treatments with a control ⋮ A method of power assessment for tests comparing several treatments with a control ⋮ Multistage methodologies for fixed-width simultaneous confidence intervals for all pairwise comparisons ⋮ Power assessment for tests of the equality of several proportions ⋮ Sample size determination for step-down multiple test procedures: Orthogonal contrasts and comparisons with a control

Uses Software

• SAS

Cites Work

• Constrained simultaneous confidence intervals for multiple comparisons with the best
• A proof of the conjecture that the Tukey-Kramer multiple comparisons procedure is conservative
• Simultaneous statistical inference. 2nd ed
• A Multiple Comparison Procedure for Comparing Several Treatments with a Control
• A Single-Sample Multiple Decision Procedure for Ranking Means of Normal Populations with known Variances
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