Statistical Analytics for Health Data Science with SAS and R

A comprehensive handbook on statistical methods for data science, covering fundamental to advanced levels, with explanations, examples, and software for replication and implementation.

Format: Hardback
Length: 258 pages
Publication date: 28 March 2023
Publisher: Taylor & Francis Ltd

Here is the rephrased text:

Comprehensive Coverage of Statistical Methods:
From Fundamental to Advanced Levels

This handbook is a valuable resource for applied data scientists and practitioners in the field of data science. It offers an extensive compilation of commonly used statistical methods, spanning from fundamental to advanced levels. These methods are essential for analyzing and interpreting data, making informed decisions, and extracting valuable insights.

Straightforward Explanations:

The handbook provides straightforward explanations of the collected statistical theory and models. It breaks down complex concepts into easily understandable terms, making it accessible to a wide range of readers, including those with limited statistical knowledge.

Comprehensive Data Compilation:

The handbook includes a compilation of a variety of publicly available data sets, allowing readers to apply the statistical methods discussed to real-world scenarios. These data sets cover various industries and domains, providing practical examples and applications of the statistical techniques.

Illustration of Data Analytics:

To enhance the understanding of the book's contents, the handbook illustrates data analytics using commonly used statistical software such as SAS/R (with SPSS/Stata as online supplementary materials). This hands-on approach allows readers to replicate and implement the new methods, gaining a deeper understanding of the book's topics and applying them to their own data analysis projects.

Data and Computer Programs:

To facilitate readers' replication and implementation of the new methods, the handbook provides data and computer programs. These resources allow readers to experiment with the statistical techniques and apply them to their own data, allowing them to better understand the book's contents and apply them for future applications.

Handbook for Data Scientists and Applied Statisticians:

This handbook serves as a comprehensive guide for data scientists and applied statisticians. It covers a wide range of statistical topics, including descriptive statistics, hypothesis testing, regression analysis, and more. The handbook is designed to provide a solid foundation for those seeking to advance their statistical skills and knowledge.

In conclusion, this handbook is a valuable resource for anyone interested in data science and statistical analysis. It offers an extensive compilation of commonly used statistical methods, straightforward explanations, comprehensive data compilation, illustrative examples, data and computer programs, and a handbook for data scientists and applied statisticians. With its comprehensive coverage and practical approach, this handbook is an essential tool for anyone looking to excel in the field of data science and make informed decisions based on data.

Weight: 550g
Dimension: 240 x 165 x 22 (mm)
ISBN-13: 9781032325620