Discrete Distributions: Applications in the Health Sciences / Edition 1

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Overview

"Discrete Distributions: Applications in the Health Sciences describes a number of new discrete distributions that arise in the statistical examination of real examples. For each example, an understanding of the issues surrounding the data provides the motivation for the subsequent development of the statistical models." Discrete Distributions: Applications in the Health Sciences provides a practical introduction to these statistical tools and their applications, suitable for researchers and graduate students from statistics and biostatistics. The focus on applications, and the accessible style of the book, make it an excellent practical reference source for practitioners from the health sciences.
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Editorial Reviews

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"…should appeal to those in statistical research and biostatistical practice who have similar applications." (Technometrics, August 2005)
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Product Details

Meet the Author

Daniel Zelterman, PhD, is Professor of Epidemiology and Public Health, Division of Biostatistics, at Yale University. His application areas include work in AIDS and cancer. Before moving to Yale in 1995, he was on the faculty of the University of Minnesota and of the State University of New York at Albany. He is an elected Fellow of the American Statistical Association and is an Associate Editor of Biometrics and several other statistical journals. In his spare time, he plays the bassoon in several amateur chamber and orchestral groups in the New Haven area.
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Table of Contents

1 Introduction 1
2 Maximum negative binomial distribution 25
3 The maximum negative hypergeometric distribution 57
4 Univariate discrete distributions for use with twins 77
5 Multivariate distributions for twins 103
6 Frequency models for family disease clusters 141
7 Sums of dependent Bernoulli's and disease clusters 173
8 Weighted binomial distributions and disease clusters 209
9 Applications to teratology experiments 243
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