The Design and Analysis of Clinical Experiments (Wiley Series in Probability and Statistics)

Fleiss, Joseph L.

ISBN 10: 0471820474 / ISBN 13: 9780471820475

Published by Wiley-Interscience (edition 1), 1986

About this Item

With dust jacket. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Seller Inventory # 0471820474-11-1-29

Bibliographic Details

• Title: The Design and Analysis of Clinical Experiments (Wiley Series in Probability and Statistics)
• Publisher: Wiley-Interscience (edition 1)
• Publication Date: 1986
• Language: English
• ISBN 10: 0471820474
• ISBN 13: 9780471820475
• Binding: Hardcover
• Edition: 1.
• Condition: Very Good
• Dust Jacket Condition: Dust Jacket Included

About this title

Synopsis

First published in 1986, this unique reference to clinical experimentation remains just as relevant today. Focusing on the principles of design and analysis of studies on human subjects, this book utilizes and integrates both modern and classical designs. Coverage is limited to experimental comparisons of treatments, or in other words, clinical studies in which treatments are assigned to subjects at random.

From the Publisher

This unique reference fills a void in the literature on clinical experimentation by focusing on principles that are especially useful in the design and analysis of studies on human subjects. It shows how to choose between modern and classical competing designs for a clinical study -- such as crossover designs, multicenter studies, and repeated measure experiments -- how to carry out each design and analyze the resulting data. Provides many practical examples, end-of-chapter problems and references, and solutions to each problem. The mathematical bases are given for several design strategies as well as for their analysis. Provides tables of critical values, 200 random permutations of the first one hundred integers, and an appendix on programmable methods for determining sample sizes.