
This practical guide is designed for students and researchers with an existing knowledge of R who wish to learn how to apply it in an epidemiological context and exploit its versatility. It also serves as a broader introduction to the quantitative aspects of modern practical epidemiology. The standard tools used in epidemiology are described and the practical use of R for these is clearly explained and laid out. R code examples, many with output, are embedded throughout the text. The entire code is also available on the companion website so that readers can reproduce all the results and graphs featured in the book. Epidemiology with R is an advanced textbook suitable for senior undergraduate and graduate students, professional researchers, and practitioners in the fields of human and non-human epidemiology, public health, veterinary science, and biostatistics.
How can researchers effectively integrate the R programming language into the quantitative workflows of modern epidemiological study? Bendix Carstensen, an expert in biostatistics and epidemiological modeling, provides a comprehensive framework for applying R to standard epidemiological tasks. The text bridges the gap between general R proficiency and the specific requirements of public health data analysis, utilizing a practical, code-heavy approach to demonstrate complex statistical methodologies.
What You Will Find
Scope Limits
Experts identify this work as a specialized resource for practitioners and graduate students seeking to refine their computational workflows in public health. Readers frequently note the technical density of the prose and the high utility of the provided code examples for reproducible research.
Page Count:
256
Publication Date:
2020-01-01
Publisher:
OUP Oxford
ISBN-10:
0192578391
ISBN-13:
9780192578396
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