9781119588825-1119588820-Biostatistics: A Foundation for Analysis in the Health Sciences

Biostatistics: A Foundation for Analysis in the Health Sciences

ISBN-13: 9781119588825
ISBN-10: 1119588820
Edition: 11th EMEA
Author: Wayne W. Daniel, Chad L. Cross
Publication date: 2019
Publisher: John Wiley & Sons
Format: Paperback
Category: Mathematics
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Book details

ISBN-13: 9781119588825
ISBN-10: 1119588820
Edition: 11th EMEA
Author: Wayne W. Daniel, Chad L. Cross
Publication date: 2019
Publisher: John Wiley & Sons
Format: Paperback
Category: Mathematics

Summary

Biostatistics: A Foundation for Analysis in the Health Sciences (ISBN-13: 9781119588825 and ISBN-10: 1119588820), written by authors Wayne W. Daniel, Chad L. Cross, was published by John Wiley & Sons in 2019. With an overall rating of 4.1 stars, it's a notable title among other Mathematics books. You can easily purchase or rent Biostatistics: A Foundation for Analysis in the Health Sciences (Paperback) from BooksRun, along with many other new and used Mathematics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.

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