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Working with Data in Public Health: A Practical Pathway with R
This book provides a complete practical guide of processing data in public health with R language. On the basis of the author’s research and teaching experiences, this book serves either as a textbook for undergraduates and graduates in public health or as a tutorial for self-learning. Many first-hand examples are presented with source data, R scripts, and graphs, as well as detailed explanations, which could be easily reproduced by readers so as to better understand the data processing principles and procedures. Popular and novel R packages in public health are introduced as well.

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Working with Data in Public Health: A Practical Pathway with R
This book provides a complete practical guide of processing data in public health with R language. On the basis of the author’s research and teaching experiences, this book serves either as a textbook for undergraduates and graduates in public health or as a tutorial for self-learning. Many first-hand examples are presented with source data, R scripts, and graphs, as well as detailed explanations, which could be easily reproduced by readers so as to better understand the data processing principles and procedures. Popular and novel R packages in public health are introduced as well.

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Working with Data in Public Health: A Practical Pathway with R

Working with Data in Public Health: A Practical Pathway with R

by Peng Zhao
Working with Data in Public Health: A Practical Pathway with R

Working with Data in Public Health: A Practical Pathway with R

by Peng Zhao

Overview

This book provides a complete practical guide of processing data in public health with R language. On the basis of the author’s research and teaching experiences, this book serves either as a textbook for undergraduates and graduates in public health or as a tutorial for self-learning. Many first-hand examples are presented with source data, R scripts, and graphs, as well as detailed explanations, which could be easily reproduced by readers so as to better understand the data processing principles and procedures. Popular and novel R packages in public health are introduced as well.

Product Details

ISBN-13: 9789819901340
Publisher: Springer Nature Singapore
Publication date: 03/30/2023
Edition description: 2023
Pages: 194
Product dimensions: 6.10(w) x 9.25(h) x (d)

About the Author

Dr. Peng Zhao is an Assistant Professor at Xi'an Jiaotong-Liverpool University. He got a B.Sc. and an M.Sc. from Peking University, and a Ph.D. from the University of Bayreuth. He used to work as a post-doc at the University of Innsbruck and the Max Planck Institute. He is the module leader of the undergraduate modules "Methods for Analysing Public Health IV: Working in the Field: Data" and "Statistics for Environmental Scientists". He published the books "Learning R: From the Very beginning" in 2018 and "Modern Statistical Graphs" in 2021 as the first author of both.

Table of Contents

Part I. Collecting data.- Research design.- Sampling data.- Part II. Processing data.- Cleaning data.- Data types.- Part III. Analyzing data.- Statistics.- Hypothesis testing.- Model.- R packages in public health.- Part IV. Visualizing data.- Basic graphs.- Advanced plotting packages.- Interactive graphs.- Part V. Presenting data.- Data reports.- poster and slides.- Manuscript and Thesis.- Part VI. Managing data.- Project management.- Appendix.

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