Multiple Comparisons introduces simultaneous statistical inference
and covers the theory and techniques for all-pairwise comparisons,
multiple comparisons with the best, and multiple comparisons with a
control. The author describes confidence intervals methods and
stepwise exposes abuses and misconceptions, and guides readers to
the correct method for each problem. Discussions also include the
connections with bioequivalence, drug stability, and toxicity
studies Real data sets analyzed by computer software packages
illustrate the applications presented.
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