Sample size planning for multiple contrast tests

Cites Work

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Wilcoxon--Mann--Whitney test for stratified samples and Efron's paradox dice
An extension of the Williams trend test to general unbalanced linear models
A wild bootstrap approach for nonparametric repeated measurements
Small sample inference for probabilistic index models
Rank-based multiple test procedures and simultaneous confidence intervals
Simultaneous inference for Kendall's tau
Nonparametric multiple contrast tests for general multivariate factorial designs
Rank and pseudo-rank procedures for independent observations in factorial designs. Using R and SAS
A unified approach to simultaneous rank test procedures in the unbalanced one-way layout
Nonparametric all-pairs multiple comparisons
On the numerical availability of multiple comparison procedures
On Sample Size of the Kruskal-Wallis Test with Application to a Mouse Peritoneal Cavity Study
A Multiple Comparison Procedure for Comparing Several Treatments with a Control
A Rank Sum Test for Comparing All Pairs of Treatments
A Multiple Comparison Rank Sum Test: Treatments versus Control
Sample Size Determination for Some Common Nonparametric Tests
Power Differences Between Pairwise Multiple Comparisons
Numerical computation of multivariatet-probabilities with application to power calculation of multiple contrasts
Sample size determination of steel's nonparametric many-one test
Rank-Based Procedures in Factorial Designs: Hypotheses About Non-Parametric Treatment Effects
Simultaneous Inference in General Parametric Models
Multiple Contrast Tests in the Presence of Heteroscedasticity
Probabilistic Index Models
Calcul des probabilités.
Ranks and Pseudo‐ranks—Surprising Results of Certain Rank Tests in Unbalanced Designs
A closed max‐t test for multiple comparisons of areas under the ROC curve
Optimal sample size planning for the Wilcoxon-Mann-Whitney test
Generalized multiple contrast tests in dose-response studies
Multiple contrast tests for multiple endpoints in the presence of heteroscedasticity
Are multiple contrast tests superior to the ANOVA?
A Dunnett-type procedure for multiple endpoints