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Informationen zum Autor KUNG-JONG LUI is a professor in the Department of Mathematics and Statistics at San Diego State University. Since he obtained his Ph.D. in biostatistics from UCLA in 1982, he has published more than 100 papers in peer-reviewed journals, including Biometrics, Statistics in Medicine, Biometrical Journal, Psychometrika, Communications in Statistics: Theory and Methods, Science, Proceedings of National Academy of Sciences, Controlled Clinical Trials, Journal of Official Statistics, IEEE Transactions on Reliability, Environmetrics, Test, Computational Statistics and Data Analysis, American Journal of Epidemiology, American Journal of Public Health, etc. He is a Fellow of the American Statistical Association, a life member of the International Chinese Statistical Association, and a member of the Western North American Region of the International Biometric Society. Klappentext Statistical Estimation of Epidemiological Risk provides coverage of the most important epidemiological indices, and includes recent developments in the field. A useful reference source for biostatisticians and epidemiologists working in disease prevention, as the chapters are self-contained and feature numerous real examples. It has been written at a level suitable for public health professionals with a limited knowledge of statistics.Other key features include:* Provides comprehensive coverage of the key epidemiological indices.* Includes coverage of various sampling methods, and pointers to where each should be used.* Includes up-to-date references and recent developments in the field.* Features many real examples, emphasising the practical nature of the book.* Each chapter is self-contained, allowing the book to be used as a useful reference source.* Includes exercises, enabling use as a course text. Zusammenfassung Statistical Estimation of Epidemiological Risk provides coverage of the most important epidemiological indices, and includes recent developments in the field. A useful reference source for biostatisticians and epidemiologists working in disease prevention, as the chapters are self-contained and feature numerous real examples. It has been written at a level suitable for public health professionals with a limited knowledge of statistics.Other key features include:* Provides comprehensive coverage of the key epidemiological indices.* Includes coverage of various sampling methods, and pointers to where each should be used.* Includes up-to-date references and recent developments in the field.* Features many real examples, emphasising the practical nature of the book.* Each chapter is self-contained, allowing the book to be used as a useful reference source.* Includes exercises, enabling use as a course text. Inhaltsverzeichnis About the author.Preface.1 Population Proportion or Prevalence.1.1 Binomial sampling.1.2 Cluster sampling.1.3 Inverse sampling.Exercises.References.2 Risk Difference.2.1 Independent binomial sampling.2.2 A series of independent binomial sampling procedures.2.2.1 Summary interval estimators.2.2.2 Test for the homogeneity of risk difference.2.3 Independent cluster sampling.2.4 Paired-sample data.2.5 Independent negative binomial sampling (inverse sampling).2.6 Independent poisson sampling.2.7 Stratified poisson sampling.Exercises.References.3 Relative Difference.3.1 Independent binomial sampling.3.2 A series of independent binomial sampling procedures.3.2.1 Asymptotic interval estimators.3.2.2 Test for the homogeneity of relative difference.3.3 Independent cluster sampling.3.4 Paired-sample data.3.5 Independent inverse sampling.Exercises.References.4 Relative Risk.4.1 Independent binomial sampling.4.2 A series of independent binomial sampling procedures.4.2.1 Asymptotic interval estimators.4.2.2 Test for the homogeneity of risk ratio.4.3 Independent cluster sampling.4.4 Paired-samp...
