Analyzing Health Data in R for SAS Users

Nonfiction, Health & Well Being, Medical, Reference, Biostatistics, Science & Nature, Mathematics, Statistics, Public Health
Cover of the book Analyzing Health Data in R for SAS Users by Monika Maya Wahi, Peter Seebach, CRC Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Monika Maya Wahi, Peter Seebach ISBN: 9781351394277
Publisher: CRC Press Publication: November 22, 2017
Imprint: Chapman and Hall/CRC Language: English
Author: Monika Maya Wahi, Peter Seebach
ISBN: 9781351394277
Publisher: CRC Press
Publication: November 22, 2017
Imprint: Chapman and Hall/CRC
Language: English

Analyzing Health Data in R for SAS Users is aimed at helping health data analysts who use SAS accomplish some of the same tasks in R. It is targeted to public health students and professionals who have a background in biostatistics and SAS software, but are new to R.

For professors, it is useful as a textbook for a descriptive or regression modeling class, as it uses a publicly-available dataset for examples, and provides exercises at the end of each chapter. For students and public health professionals, not only is it a gentle introduction to R, but it can serve as a guide to developing the results for a research report using R software.

Features:

  • Gives examples in both SAS and R
  • Demonstrates descriptive statistics as well as linear and logistic regression
  • Provides exercise questions and answers at the end of each chapter
  • Uses examples from the publicly available dataset, Behavioral Risk Factor Surveillance System (BRFSS) 2014 data
  • Guides the reader on producing a health analysis that could be published as a research report
  • Gives an example of hypothesis-driven data analysis
  • Provides examples of plots with a color insert
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Analyzing Health Data in R for SAS Users is aimed at helping health data analysts who use SAS accomplish some of the same tasks in R. It is targeted to public health students and professionals who have a background in biostatistics and SAS software, but are new to R.

For professors, it is useful as a textbook for a descriptive or regression modeling class, as it uses a publicly-available dataset for examples, and provides exercises at the end of each chapter. For students and public health professionals, not only is it a gentle introduction to R, but it can serve as a guide to developing the results for a research report using R software.

Features:

More books from CRC Press

Cover of the book Measure Theory and Integration by Monika Maya Wahi, Peter Seebach
Cover of the book Quantum Theory of Solids by Monika Maya Wahi, Peter Seebach
Cover of the book Safety Law by Monika Maya Wahi, Peter Seebach
Cover of the book Polarimetric Radar Imaging by Monika Maya Wahi, Peter Seebach
Cover of the book Timber Bridges by Monika Maya Wahi, Peter Seebach
Cover of the book Aviation Psychology and Human Factors by Monika Maya Wahi, Peter Seebach
Cover of the book Geomechanics and Geodynamics of Rock Masses - Volume 2 by Monika Maya Wahi, Peter Seebach
Cover of the book Basic Electrical Installation Work by Monika Maya Wahi, Peter Seebach
Cover of the book Metamaterials by Monika Maya Wahi, Peter Seebach
Cover of the book Coastal Planning and Management by Monika Maya Wahi, Peter Seebach
Cover of the book Semiconductor Transport by Monika Maya Wahi, Peter Seebach
Cover of the book Predictive Inference by Monika Maya Wahi, Peter Seebach
Cover of the book Oxidants, Antioxidants And Free Radicals by Monika Maya Wahi, Peter Seebach
Cover of the book Steric Aspects Of Biomolecular Interactions by Monika Maya Wahi, Peter Seebach
Cover of the book Transformer Engineering by Monika Maya Wahi, Peter Seebach
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy