Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs
Author:   Thomas W. MacFarland
Publisher:   Springer International Publishing AG
ISBN:  

9783031463853


Pages:   528
Publication Date:   11 May 2025
Format:   Paperback
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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Author:   Thomas W. MacFarland
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
ISBN:  

9783031463853


ISBN 10:   3031463854
Pages:   528
Publication Date:   11 May 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
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.

Reviews

“The book is well illustrated and includes input (in green) and output (in red) of sessions in the projects. The charts produced by the graphical tools are readable and serve as models for exploratory graphics. The data files are large zip files that can be downloaded from the publisher using the included uniform resource locators (URLs). The wealth of projects and the guidance provided to users would make this book very useful in advanced-level practicum/lab courses.” (Anthony J. Duben, Computing Reviews, March 13, 2025)


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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