This volume discusses the need for accurate interpretation of statistical data, and provides theory, examples and software to address the dilemmas of multiple testing. The author demonstrates how easy it is to carry out resampling methods using the currently available software from the SAS(R) Institute - PROC MULTTEST, as well as many other types of mathematical and statistical software. This can apply to a wide range of applications and can be easily implemented. The resampling approach defines and displays analyses in terms of adjusted P-values providing a unified method for reporting the results of multiple testing and eliminating the need for inconvenient table look-ups.
Resampling-Based Adjustments: Basic Concepts. Continuous Data Applications: Univariate Analysis. Continuous Data Applications: Multivariate Analysis. Binary Data Applications. Further Topics. Practical Applications. Appendices. References. List of Algorithms. List of Examples. Indexes.