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Informationen zum Autor Daniel Zelterman is Professor of Biostatistics in the Yale School of Public Health and Director of the Biostatistics Core of the Yale Comprehensive Cancer Center. He previously held academic positions at the University of Minnesota and at the State University of New York at Albany. He is an elected Fellow of the American Statistical Association. He is an Associate Editor of Biometrics and several other statistical journals. Klappentext Discrete or count data arise in experiments where the outcome variables are the numbers of individual classified into unique, non-overlapping categories. This revised edition describes the statistical models used in the analysis and summary of such data, and provides a sound introduction tothe subject for graduate students and practitioners needing a review of the methodology. With many numerical examples throughout, it includes topics not covered in depth elsewhere, such as the negative multinomial distribution; the many forms of the hypergeometric distribution; and coordinate freemodels. A detailed treatment of sample size estimation and power are given in terms of both exact inference and asymptotic, non-central chi-squared methods. A new section covering Poisson regression has also been included. An important feature of this book, missing elsewhere, is the integrationof the software into the text. Many more exercises are provided (including 84% more applied exercises) than in the previous edition, helping consolidate the reader's understanding of all subjects covered, and making the book highly suitable for use in a classroom setting. Several new datasets, mostly from the health and medicalsector, are discussed, including previously unpublished data from a study of Tourette's Syndrome in children. Zusammenfassung This revised edition illustrates the statistical analysis of data using computer programs in SAS, a widely used software package in the health sciences. Many numerical examples are provided to illustrate the methods and these are discussed along with the corresponding computer output. Several new datasets are included, mostly from the health and medical sector. Inhaltsverzeichnis 1: Introduction 2: Sampling distributions 3: Logistic regression 4: Log-linear models 5: Coordinate-free models 6: Additional topics Appendix A: Power for chi-squared tests Appendix B: Program for exact tests Appendix C: The hypergeometric distribution References Selected solutions and hints Index Examples index Author index Subject index ...
