## Adaptive Tests of Significance Using Permutations of Residuals with R and SASProvides the tools needed to successfully perform adaptive tests across a broad range of datasets Adaptive Tests of Significance Using Permutations of Residuals with R and SAS illustrates the power of adaptive tests and showcases their ability to adjust the testing method to suit a particular set of data. The book utilizes state-of-the-art software to demonstrate the practicality and benefits for data analysis in various fields of study. Beginning with an introduction, the book moves on to explore the underlying concepts of adaptive tests, including: - Smoothing methods and normalizing transformations
- Permutation tests with linear methods
- Applications of adaptive tests
- Multicenter and cross-over trials
- Analysis of repeated measures data
- Adaptive confidence intervals and estimates
Throughout the book, numerous figures illustrate the key differences among traditional tests, nonparametric tests, and adaptive tests. R and SAS software packages are used to perform the discussed techniques, and the accompanying datasets are available on the book's related website. In addition, exercises at the end of most chapters enable readers to analyze the presented datasets by putting new concepts into practice. Adaptive Tests of Significance Using Permutations of Residuals with R and SAS is an insightful reference for professionals and researchers working with statistical methods across a variety of fields including the biosciences, pharmacology, and business. The book also serves as a valuable supplement for courses on regression analysis and adaptive analysis at the upper-undergraduate and graduate levels. |

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### Contents

Smoothing Methods and Normalizing Transformations | 15 |

A TwoSample Adaptive Test | 43 |

Permutation Tests with Linear Models | 75 |

An Adaptive Test for a Subset of Coefficients | 87 |

More Applications of Adaptive Tests | 111 |

Multicenter and CrossOver Trials | 169 |

Adaptive Multivariate Tests | 191 |

Analysis of Repeated Measures Data | 207 |

Adaptive Confidence Intervals and Estimates | 253 |

R Code for Univariate Adaptive Tests | 283 |

SAS Macro for Multiple Comparisons Procedures | 299 |

R Code for Adaptive Test with Paired Data | 305 |

R Code for Multivariate Adaptive Tests | 313 |

SAS Macro for Conﬁdence Intervals | 321 |

SAS Macro for Estimates | 329 |

RankBased Tests of Significance | 235 |