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Biostatistics for Epidemiology and Public Health Using R

2015-11-05 Medical
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Release : 2015-11-05
Genre : Medical
Kind : eBook
Book Rating : 266/5 ( reviews)

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Book Synopsis Biostatistics for Epidemiology and Public Health Using R by : Bertram K.C. Chan, PhD

Download or read book Biostatistics for Epidemiology and Public Health Using R written by Bertram K.C. Chan, PhD. This book was released on 2015-11-05. Available in PDF, EPUB and Kindle. Book excerpt: 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. In addition to being freely available, R offers several advantages for biostatistics, including strong graphics capabilities, the ability to write customized functions, and its extensibility. 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-bystep approach to building skills. 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 and exercises drawn from such areas as nutrition, environmental health, and behavioral 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. This text is supplemented with teaching resources, including an online guide for students in solving exercises and an instructor's manual. KEY FEATURES: First overview biostatistics textbook for epidemiology and public health that uses the open-source R program Covers essential and advanced techniques and applications in biostatistics as relevant to epidemiology Features abundant examples and exercises to illustrate the application of R language for biostatistical calculations and graphical displays of results Includes online student solutions guide and instructor's manual

Biostatistics for Clinical and Public Health Research

2017-12-14 Medical
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Release : 2017-12-14
Genre : Medical
Kind : eBook
Book Rating : 714/5 ( reviews)

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Book Synopsis Biostatistics for Clinical and Public Health Research by : Melody S. Goodman

Download or read book Biostatistics for Clinical and Public Health Research written by Melody S. Goodman. This book was released on 2017-12-14. Available in PDF, EPUB and Kindle. Book excerpt: Biostatistics for Clinical and Public Health Research provides a concise overview of statistical analysis methods. Use of SAS and Stata statistical software is illustrated in full, including how to interpret results. Focusing on statistical models without all the theory, the book is complete with exercises, case studies, take-away points, and data sets. Readers will be able to maximize their statistical abilities in hypothesis testing, data interpretation, and application while also learning when and how to consult a biostatistician. This book will be an invaluable tool for students and clinical and public health practitioners.

Analysis of Epidemiologic Data Using R

2023-09-10 Science
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Release : 2023-09-10
Genre : Science
Kind : eBook
Book Rating : 146/5 ( reviews)

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Book Synopsis Analysis of Epidemiologic Data Using R by : Robert Hirsch

Download or read book Analysis of Epidemiologic Data Using R written by Robert Hirsch. This book was released on 2023-09-10. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies. With the occurrence of Covid-19, people have been exposed to the analysis and interpretation of epidemiological data. To be informed consumers of this information, people need to understand the nature and analysis of these data. Effort is made to emphasize concepts rather than mathematics. Subjects range from description of the frequencies of disease to the analysis of associations between the occurrence of disease and exposure. Those analyses begin with simple associations and work up to complex relationships that involve the control of extraneous characteristics. Analyses rely on the statistical software R, which is freeware in wide use by professional epidemiologists and other scientists.

Biostatistics and Epidemiology

2006-05-10 Medical
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Release : 2006-05-10
Genre : Medical
Kind : eBook
Book Rating : 297/5 ( reviews)

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Book Synopsis Biostatistics and Epidemiology by : Sylvia Wassertheil-Smoller

Download or read book Biostatistics and Epidemiology written by Sylvia Wassertheil-Smoller. This book was released on 2006-05-10. Available in PDF, EPUB and Kindle. Book excerpt: For the new edition of Biostatistics and Epidemiology, Dr. Wassertheil-Smoller has included several new chapters (genetic statistics, molecular epidemiology, scientific integrity and research ethics) and a new appendix on the basic concepts of genetics and a glossary of genetic terminology. She has also expanded the coverage of multi-center trials (an important aspect of implementation of the standards of evidence-based medicine), controversies in screening for prostate, colon, breast, and other cancers.

Epidemiology with R

2021-01-14 Medical
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Release : 2021-01-14
Genre : Medical
Kind : eBook
Book Rating : 329/5 ( reviews)

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Book Synopsis Epidemiology with R by : Bendix Carstensen

Download or read book Epidemiology with R written by Bendix Carstensen. This book was released on 2021-01-14. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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