Название: Biostatistics for Epidemiology and Public Health Using R
Автор: Bertram K.C. Chan PhD
Издательство: Springer Publishing Company
ISBN: 0826110258
Год: 2015
Страниц: 460
Язык: английский
Формат: pdf (true)
Размер: 11.8 MB

Since it first appeared in 1996, the open-source programming language R has become increasingly popular as an environment for statistical analysis and graphical output. This is the first textbook to present classical biostatistical analysis for epidemiology and related public health sciences to students using the R language. Based on the assumption that readers have minimal familiarity with statistical concepts, the author uses a step-by-step approach to building skills.

The purpose of this book is to make R readily accessible, on a hands-on level, to all future epidemiologists for research, data processing, and presentation. This book is essentially about learning R with an emphasis on applications to epidemiology, public health, and preventive medicine. To make the best use of this text, readers should have some background in basic computer usage. With R and the supplied datasets, users should be able to work through each section, learning the techniques of data management, related biostatistical theories, and the practice of data analysis and graphical presentations. The book is systematically organized into seven chapters, each with a number of main sections covering the spectrum of applicable R codes for biostatistical applications in epidemiology and public health.

The text encompasses biostatistics from basic descriptive and quantitative statistics to survival analysis and missing data analysis in epidemiology. Illustrative examples, including real-life research problems drawn from such areas as nutrition, environmental health, and behavioural health, engage students and reinforce the understanding of R. These examples illustrate the replication of R for biostatistical calculations and graphical display of results. The text covers both essential and advanced techniques and applications in biostatistics that are relevant to epidemiology. Also included are an instructor's guide, student solutions manual, and downloadable data sets.