Can I read Statistical Analytics for Health Data Science with SAS and R on EtoBox?

Statistical Analytics for Health Data Science with SAS and R by Jeffrey Wilson, Ding-Geng Chen, Karl E. Peace is a nonfiction available to read on EtoBox.

What is Statistical Analytics for Health Data Science with SAS and R about?

This book aims to compile typical fundamental-to-advanced statistical methods to be used for health data sciences. Although the book promotes applications to health and health-related data, the models in the book can be used to analyze any kind of data. The data are analyzed with the commonly used statistical software of R/SAS (with online supplementary on SPSS/Stata). The data and computing programs will be available to facilitate readers’ learning experience. There has been considerable attention to making statistical methods and analytics available to health data science researchers and students. This book brings it all together to provide a concise point-of-reference for the most commonly used statistical methods from the fundamental level to the advanced level. We envisage this book will contribute to the rapid development in health data science. We provide straightforward explanations of the collected statistical theory and models, compilations of a variety of publicly available data, and illustrations of data analytics using commonly used statistical software of SAS/R. We will have the data and computer programs available for readers to replicate and implement the new method

Who reads Statistical Analytics for Health Data Science with SAS and R?

Author

Jeffrey Wilson, Ding-Geng Chen, Karl E. Peace

Publisher

CRC Press/Chapman & Hall

Published

2023

Language

EN

ISBN

9781032325699

Category

nonfiction

Subjects

Medical, Mathematics, Business