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This book describes the basic development of observed confidence levels for a variety of common multiple testing problems in statistical inference. It compares the use of observed confidence levels with other statistical methodologies such as multiple comparison and posterior probabilities and includes many practical examples from the fields of engineering, biology, and medicine as well as exercises at the end of each chapter. The author also discusses how observed confidence levels can be computed using R and offers a website with many of the data sets and R code used in the book as well as links to relevant references and news about current applications of observed confidence levels.
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