Biostatistics

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A01=Chad L. Cross
A01=Wayne W. Daniel
Author_Chad L. Cross
Author_Wayne W. Daniel
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Biostatistics: A Foundation for Analysis in the Health Sciences
Category=PB
central tendency measurement
confidence interval
correlation model
Cox regression
descriptive statistics
dispersion measurement
distribution-free statistics
Eleventh Edition
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
factorial experiment
health science statistics
inferential statistics
Kaplan-Meier procedure
nonparametric statistics
Poisson distribution
probability calculation
probability concepts
probability distribution
regression analysis
regression correlation
regression equation
regression model
statistical sampling
statistical sampling distribution
survival analysis
survival curve analysis
variance analysis
variation coefficient
Wayne W. Danie

Product details

  • ISBN 9781119588825
  • Weight: 454g
  • Dimensions: 10 x 10mm
  • Publication Date: 17 May 2019
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Paperback
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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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