34 of 34 people found the following review helpful:
5.0 out of 5 stars
very good modern treatment of multiple comparison issues, January 24, 2008
This review is from: Multiple Comparisons: Theory and Methods (Hardcover)
Rupert Miller's book "Simultaneous Statistical Inference" was acclaimed when it was published in 1966 as a source that unified the scattered literature on the topic. In 1981, the second edition provided a welcomed update.
Since that time the methods and applications continue to grow. Hsu provides a systematic treatment and makes the material accessible. The literature is often disjoint and confusing but Hsu puts things together very well and provides a wealth of applications in a variety of disciplines including pharmaceuticals and quality control engineering.
The book is also very valuable because it exposes the misuses. It is probably the best current reference source for this subject. I have used it as a refrerence in statistical analysis plans and sections of protocols that I have written for clinical trials at various pharmaceutical companies. One of the things that I like best about the text are the simple proofs of important practical theorems. My favorite example is the proof that closed testing maintains the type I error rate without the need for a multiplicity adjustment.
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