
Автор: Lily Wang
Издательство: CRC Press
Серия: Data Science Series
Год: 2023
Страниц: 420
Язык: английский
Формат: pdf (true)
Размер: 17.2 MB
Data Science for Infectious Disease Data Analytics: An Introduction with R provides an overview of modern data science tools and methods that have been developed specifically to analyze infectious disease data. With a quick start guide to epidemiological data visualization and analysis in R, this book spans the gulf between academia and practices providing many lively, instructive data analysis examples using the most up-to-date data. The primary emphasis of this book is the Data Science procedures in epidemiological studies, including data wrangling, visualization, interpretation, predictive modeling, and inference, which is of immense importance due to increasingly diverse and nonexperimental data across a wide range of fields.