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Principles and Applications of Biostatistics

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Principles and Applications of Biostatistics
Principles and Applications of Biostatistics by Ray M. Merrill (Author) Publisher ‏ : ‎ Jones & Bartlett Learning (September 17, 2021) Language ‏ : ‎ English FORMAT: ORIGINAL PDF/PRINT REPLICA ISBN-10 ‏ : ‎ 1284225976 ISBN-13 ‏ : ‎ 978-1284225976
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Featured in Archive: Statististics & Research
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Principles and Applications of Biostatistics PDF 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. The text presents ways in which biostatistics can effectively describe and assess problems (e.g., COVID-19) that threaten physical, mental, and social wellbeing. Data collection, analysis, presentation, and interpretation are covered in detail and supported with ample relevant examples and exercises incorporated throughout the book. Key Features: 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. The text presents ways in which biostatistics can effectively describe and assess problems (e.g., COVID-19) that threaten physical, mental, and social wellbeing. Data collection, analysis, presentation, and interpretation are covered in detail and supported with ample relevant examples and exercises incorporated throughout the book. 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 examples and assignment problems (many involving COVID-19) within each chapter cover a variety of application areas of biostatistics. • 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 (e.g. SAS 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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About the Author

Ray M. Merrill, Ph.D., M.P.H. has been actively involved in epidemiology and biostatisticssince 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. Merrillcurrently 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.
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