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Introduction to Data Science in Biostatistics de Thomas W. Macfarland

Introduction to Data Science in Biostatistics

Autor Thomas W. Macfarland
en Limba Engleză Paperback – 11 mai 2025
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.
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Specificații

ISBN-13: 9783031463853
ISBN-10: 3031463854
Pagini: 548
Dimensiuni: 155 x 235 x 30 mm
Greutate: 0.82 kg
Editura: Springer

Cuprins

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.

Notă biografică

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.

Textul de pe ultima copertă

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.

Caracteristici

Features examples on using R to obtain data from APIs and on communicating results to external stakeholders Offers demonstrations in Base R and then complements outcomes with the use of tidyverse Provides details and guidance on careers in biostatistics, with the goal of preparing future biostatisticians