9781119282372-1119282373-Biostatistics: A Foundation for Analysis in the Health Sciences (Wiley Series in Probability and Statistics)

Biostatistics: A Foundation for Analysis in the Health Sciences (Wiley Series in Probability and Statistics)

ISBN-13: 9781119282372
ISBN-10: 1119282373
Edition: 11
Author: Wayne W. Daniel, Chad L. Cross
Publication date: 2018
Publisher: Wiley
Format: Paperback 720 pages
FREE US shipping on ALL non-marketplace orders
Rent
35 days
from $76.68 USD
FREE shipping on RENTAL RETURNS
Marketplace
from $103.26 USD
Buy

From $103.26

Rent

From $76.68

Book details

ISBN-13: 9781119282372
ISBN-10: 1119282373
Edition: 11
Author: Wayne W. Daniel, Chad L. Cross
Publication date: 2018
Publisher: Wiley
Format: Paperback 720 pages

Summary

Biostatistics: A Foundation for Analysis in the Health Sciences (Wiley Series in Probability and Statistics) (ISBN-13: 9781119282372 and ISBN-10: 1119282373), written by authors Wayne W. Daniel, Chad L. Cross, was published by Wiley in 2018. With an overall rating of 4.2 stars, it's a notable title among other Biology (Biological Sciences) books. You can easily purchase or rent Biostatistics: A Foundation for Analysis in the Health Sciences (Wiley Series in Probability and Statistics) (Paperback) from BooksRun, along with many other new and used Biology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $57.55.

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.

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book