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.
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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.
The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations of mathematicians and scientists. Currently available in the Series:
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