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Cover of Principles and Applications of Biostatistics
  • ISBN-13 · 9781284225976
  • ISBN-10 · 1284225976
  • Publisher · Jones & Bartlett Publishers
  • Format · Trade Paperback, 400 pages
  • Published · 2021
  • Language · English

Principles and Applications of Biostatistics

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About this book

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: 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.