Principles and Applications of Biostatistics
Author: Ray Merrill, PhD, MPH, MS, FAAHB, FACE
Affiliation:
Publisher: Jones & Bartlett Learning
Publication Date: 2022
ISBN 10: 1284225976
ISBN 13: 9781284225976
eISBN: 9781284226003
Edition: 1st
Affiliation:
Publisher: Jones & Bartlett Learning
Publication Date: 2022
ISBN 10: 1284225976
ISBN 13: 9781284225976
eISBN: 9781284226003
Edition: 1st
Description:
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.
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