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.
Les mer
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.
Les mer
Preface Introduction 1: Using R 2: Measures of disease occurrence 3: Prevalence data- models, likelihood and binomial regression 4: Regression models 5: Analysis of follow-up data 6: Parametrization and prediction of rates 7: Case-control and case-cohort studies 8: Survival analysis 9: Do not group quantitative variables
Les mer
This volume will be useful to epidemiologists who are looking for a quick reference guide on how to practically use R in epidemiological research, particularly the Epi and survival packages.
Describes the application of R to the analysis of epidemiological data Includes the modelling of both linear and non-linear effects and how to report them graphically Provides a comprehensive description of techniques and analyses appropriate for both infectious and chronic/non-infectious disease epidemiology R code available from the companion website, enabling readers to reproduce all the results and graphs featured in the book
Les mer
Bendix Carstensen is a Senior Statistician in Clinical Epidemiology at the Steno Diabetes Center, Gentofte and an External Lecturer at the Department of Biostatistics, University of Copenhagen, Denmark. His expertise and interests are chiefly in the areas of Biostatistics, Epidemiology/Public Health and Diabetes Epidemiology.
Les mer
Describes the application of R to the analysis of epidemiological data Includes the modelling of both linear and non-linear effects and how to report them graphically Provides a comprehensive description of techniques and analyses appropriate for both infectious and chronic/non-infectious disease epidemiology R code available from the companion website, enabling readers to reproduce all the results and graphs featured in the book
Les mer

Produktdetaljer

ISBN
9780198841333
Publisert
2020
Utgiver
Vendor
Oxford University Press
Vekt
538 gr
Høyde
245 mm
Bredde
190 mm
Dybde
14 mm
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
256

Forfatter

Biographical note

Bendix Carstensen is a Senior Statistician in Clinical Epidemiology at the Steno Diabetes Center, Gentofte and an External Lecturer at the Department of Biostatistics, University of Copenhagen, Denmark. His expertise and interests are chiefly in the areas of Biostatistics, Epidemiology/Public Health and Diabetes Epidemiology.