Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs

Author:   Thomas W. MacFarland
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2024
ISBN:  

9783031463822


Pages:   528
Publication Date:   11 May 2024
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs


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Overview

Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs defines and explores the term ""data science"" and discusses the many professional skills and competencies affiliated with the industry. With data science being a leading indicator of interest in STEM fields, the text also investigates this ongoing growth of demand in these spaces, with the goal of providing readers who are entering the professional world with foundational knowledge of required skills, job trends, and salary expectations. The text provides a historical overview of computing and the field's progression to R as it exists today, including the multitude of packages and functions associated with both Base R and the tidyverse ecosystem. Readers will learn how to use R to work with real data, as well as how to communicate results to external stakeholders. A distinguishing feature of this text is its emphasis on the emerging use of APIs to obtain data.

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Author:   Thomas W. MacFarland
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2024
ISBN:  

9783031463822


ISBN 10:   303146382
Pages:   528
Publication Date:   11 May 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Emergence of Data Science as a Critical Discipline in Biostatistics.- 2. Data Sources in Biostatistics.- 3. Role of Statistics for Decision Making in Biostatistics.- 4. Data Science and R, Base R, and the tidyverse Ecosystem.- 5. Statistical Analyses and Graphical Presentations in Biostatistics Using Base R and the tidyverse Ecosystem.- 6. Use of R-Based APIs to Obtain Data.- 7. Putting It All Together: R, the tidyverse Ecosystem, and APIs.

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Author Information

Thomas W. MacFarland, Ed.D., is senior research associate (Office of Institutional Effectiveness) and associate professor (College of Computing and Engineering) at Nova Southeastern University, Fort Lauderdale, Florida. Dr. MacFarland maintains an active research agenda, using R for data organization, statistical analyses, and graphical presentations.

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