Principles and Applications of Biostatistics - Merrill, Ray M
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"Principles and Applications of Biostatistics covers the primary concepts and methods that are required for a fundamental understanding of the use and interpretation of statistics for the biological and health sciences-from data presentation to multiple regression and analysis of variance. With a focus clarity, brevity, and accuracy, this text provides understandable and focused explanation of statistical principles and applications along with practical examples and problems drawn from biological health and medical settings. Key Features: Practical questions follow each problem to encourage…mehr

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Produktbeschreibung
"Principles and Applications of Biostatistics covers the primary concepts and methods that are required for a fundamental understanding of the use and interpretation of statistics for the biological and health sciences-from data presentation to multiple regression and analysis of variance. With a focus clarity, brevity, and accuracy, this text provides understandable and focused explanation of statistical principles and applications along with practical examples and problems drawn from biological health and medical settings. Key Features: Practical questions follow each problem to encourage students to consider why the problem likely exists, help formulate hypotheses, and then statistically assess those hypotheses. Abundant assignment problems at the end of sections and each chapter cover a variety of application areas of biostatistics. Rationale boxes offer explanations of why certain methods are used for specific cases. Well-designed, attractive graphics that help make statistics easier to comprehend are used to present concepts, functions, and data. Applied focus encourages students to use computer applications (SPSS, R, or MS Excel) to demonstrate data analysis. Data analysis systems are used to obtain descriptive measures and basic plots (e.g. stem-and-leaf and box plots) for the purposes of exploratory data analysis-P-values in hypothesis testing and confidence intervals in descriptive and analytic assessment are discussed and included on many of the computer printouts"--
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Autorenporträt
Ray M. Merrill, Ph.D., M.P.H. has been actively involved in epidemiology and biostatistics'since his professional career began in 1995. As a Cancer Prevention Fellow at the National Cancer Institute, he worked with leading researchers in the area of cancer epidemiology. In 1998 he joined the faculty in the Department of Health Science at Brigham Young University, Provo, Utah, where he continued his research in epidemiology. Since 1999 he has also held an adjunct faculty position in the Department of Family and Preventive Medicine at the University of Utah. In 2001, he spent a sabbatical working in the Unit of Epidemiology for Cancer Prevention at the International Agency for Research on Cancer Administration, Lyon, France. He has won various awards for his research in cancer epidemiology.Dr. Merrill'currently teaches introductory and advanced level classes in epidemiology and biostatistics. He has over 100 professional publications in epidemiology and public health journals. He is currently a full professor of epidemiology and biostatistics at Brigham Young University.