A method of power assessment for tests comparing several treatments with a control
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Publication:4202707
DOI10.1080/03610929208830885zbMath0775.62047OpenAlexW2086979997MaRDI QIDQ4202707
Publication date: 4 October 1993
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610929208830885
Asymptotic properties of parametric tests (62F05) Paired and multiple comparisons; multiple testing (62J15)
Related Items (10)
SAMPLE SIZE DETERMINATION FOR MULTIPLE MANY-ONE AND PAIRWISE COMPARISONS OF PROPORTIONS USING THE ARCSIN TRANSFORMATION ⋮ Numerical computation of multivariatet-probabilities with application to power calculation of multiple contrasts ⋮ The two-step approach—a significant ANOVA F-test before Dunnett's comparisons against a control—is not recommended ⋮ Equivalence of normal means compared with a control ⋮ On sample size determination of Dunnett's procedure for comparing several treatments with a control ⋮ A multiple directional decision procedure for successive comparisons of treatment effects ⋮ Mutiple three-decision procedure for comparing several exponential treatments with the best control ⋮ Sample Size Determination for Testing Whether an Identified Treatment Is Best ⋮ Unnamed Item ⋮ A comparison study on modeling of clustered and overdispersed count data for multiple comparisons
Cites Work
- Sample size computation for designing multiple comparison experiments
- Sample size determination for step-down multiple test procedures: Orthogonal contrasts and comparisons with a control
- Power assessment for tests of the equality of several proportions
- Algorithm AS 251: Multivariate Normal Probability Integrals with Product Correlation Structure
- A Multiple Comparison Procedure for Comparing Several Treatments with a Control
- Sample Size Allocation for Simultaneous Inference in Comparison with Control Experiments
- Optimal Allocation of Observations When Comparing Several Treatments with a Control, II: 2-Sided Comparisons
- New Tables for Multiple Comparisons with a Control
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