The Design and Analysis of Clinical Experiments
Joseph L. Fleiss(Author)
Wiley (Publisher)
Published on 6. March 1986
Book
Hardback
448 pages
978-0-471-82047-5 (ISBN)
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Description
This reference book on clinical experimentation focuses 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. The book 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. Also provided are tables of critical values, 200 random permutations of the first one hundred integers, and an appendix on programmable methods for determining sample sizes.
More details
Series
Edition
Wiley Classics Lib ed.
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
illustrations, bibliography, index
Dimensions
Height: 235 mm
Width: 159 mm
Weight
794 gr
ISBN-13
978-0-471-82047-5 (9780471820475)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Joseph L. Fleiss
Design and Analysis of Clinical Experiments
E-Book
01/2011
Wiley
€106.99
Available for download

Joseph L. Fleiss
Design and Analysis of Clinical Experiments
Book
03/1999
Wiley
€173.50
Shipment within 10-20 days
Content
Reliability of Measurement; Simple Linear Regression Analysis; The Parallel Groups Design; Special Cases of the Parallel Groups Study; Blocking to Control for Prognostic Variables; Stratification to Control for Prognostic Variables; Analysis of Covariance and the Study of Change; Repeated Measurement Studies; Latin and Greco-Latin Squares; The Crossover Study; Balanced Incomplete Block Designs; Factorial Experiments; Split-plot Designs and Confounding; Appendix: Sample-size Determination.