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Synopsis
Provides a comprehensive explanation for data analysis and graphics using R language, including how R language handles classic problems in case-control, cohort studies and its use in survival analysis... The content and quality of this book is excellent. It is a great tool for understanding the use of R language for biostatistical analysis. Score: 91 - 4 Stars!
Bhavesh Barad, MD, East Tennessee State University Quillen College of Medicine, Doody's Reviews
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
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Bertram K. C. (Bert) Chan, PhD, is currently Consulting Biostatistician at the School of Medicine, Department of Preventive Medicine at Loma Linda University.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Biostatistics for Epidemiology and Public Health Using R
Edité par
Springer Publishing Company, 2015
ISBN 10 : 0826110258
ISBN 13 : 9780826110251
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Biostatistics for Epidemiology and Public Health Using R
Edité par
Springer Publishing Company, 2015
ISBN 10 : 0826110258
ISBN 13 : 9780826110251
Neuf
Couverture souple
Vendeur : California Books, Miami, FL, Etats-Unis
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Biostatistics for Epidemiology and Public Health Using R
Edité par
Springer Publishing Company, 2015
ISBN 10 : 0826110258
ISBN 13 : 9780826110251
Neuf
Couverture souple
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Biostatistics for Epidemiology and Public Health Using R (Paperback)
Edité par
Springer Publishing Co Inc, New York, 2015
ISBN 10 : 0826110258
ISBN 13 : 9780826110251
Neuf
Paperback
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Provides a comprehensive explanation for data analysis and graphics using R language, including how R language handles classic problems in case-control, cohort studies and its use in survival analysis. The content and quality of this book is excellent. It is a great tool for understanding the use of R language for biostatistical analysis. Score: 91 - 4 Stars!Bhavesh Barad, MD, East Tennessee State University Quillen College of Medicine, Doody's ReviewsSince 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 programCovers essential and advanced techniques and applications in biostatistics as relevant to epidemiologyFeatures abundant examples and exercises to illustrate the application of R language for biostatistical calculations and graphical displays of resultsIncludes online student solutions guide and instructor's manual 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780826110251
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Biostatistics for Epidemiology and Public Health Using R
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Etat : New. 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. N° de réf. du vendeur 595077521
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Biostatistics for Epidemiology and Public Health Using R
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. 1st edition. 446 pages. 10.00x7.00x1.00 inches. In Stock. N° de réf. du vendeur x-0826110258
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Biostatistics for Epidemiology and Public Health Using R
Edité par
Springer Publishing Company Nov 2015, 2015
ISBN 10 : 0826110258
ISBN 13 : 9780826110251
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Neuware - 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. N° de réf. du vendeur 9780826110251
Quantité disponible : 2 disponible(s)