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Biostatistical Design and Analysis Using R (eBook)

A Practical Guide

(Autor)

eBook Download: PDF
2010
John Wiley & Sons (Verlag)
978-1-4443-1963-7 (ISBN)

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Biostatistical Design and Analysis Using R - Murray Logan
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R — the statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment, so as to provide a textbook for biologists learning statistics, R, or both. An abridged description of biostatistical principles and analysis sequence keys are combined together with worked examples of the practical use of R into a complete practical guide to designing and analyzing real biological research.

Topics covered include:

  • simple hypothesis testing, graphing
  • exploratory data analysis and graphical summaries
  • regression (linear, multi and non-linear)
  • simple and complex ANOVA and ANCOVA designs (including nested, factorial, blocking, spit-plot and repeated measures)
  • frequency analysis and generalized linear models.

Linear mixed effects modeling is also incorporated extensively throughout as an alternative to traditional modeling techniques.

The book is accompanied by a companion website www.wiley.com/go/logan/r with an extensive set of resources comprising all R scripts and data sets used in the book, additional worked examples, the biology package, and other instructional materials and links.



Murray Logan is a lecturer and researcher in the School of Biological Sciences, Monash University, Melbourne, Australia. He teaches a range of zoological and ecological courses in addition to biostatistical and R courses to undergraduate and graduate students. He also provides research design and analysis advice to a range of university, government and private organizations.
R the statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment, so as to provide a textbook for biologists learning statistics, R, or both. An abridged description of biostatistical principles and analysis sequence keys are combined together with worked examples of the practical use of R into a complete practical guide to designing and analyzing real biological research. Topics covered include: simple hypothesis testing, graphing exploratory data analysis and graphical summaries regression (linear, multi and non-linear) simple and complex ANOVA and ANCOVA designs (including nested, factorial, blocking, spit-plot and repeated measures) frequency analysis and generalized linear models. Linear mixed effects modeling is also incorporated extensively throughout as an alternative to traditional modeling techniques. The book is accompanied by a companion website www.wiley.com/go/logan/r with an extensive set of resources comprising all R scripts and data sets used in the book, additional worked examples, the biology package, and other instructional materials and links.

Murray Logan is a lecturer and researcher in the School of Biological Sciences, Monash University, Melbourne, Australia. He teaches a range of zoological and ecological courses in addition to biostatistical and R courses to undergraduate and graduate students. He also provides research design and analysis advice to a range of university, government and private organizations.

"If you want to do more than just the basics then
Biostatistical Design and Analysis using Ris an excellent guide,
helping you climb the steep learning curve."
(British Ecological Society Bulletin, 1 March 2012)

"Overall, this is an excellent reference for biologists and
biostatisticians; it is also a very good supplemental textbook for
a graduate-level biostatistics course." (The Quarterly Review of
Biology, 2011)

Erscheint lt. Verlag 22.2.2010
Sprache englisch
Themenwelt Naturwissenschaften Biologie Ökologie / Naturschutz
Technik
Schlagworte abridged • Ökologie / Methoden, Statistik • Availability • biologists • biostatistical • Biostatistics • Biostatistik • Biowissenschaften • Book • Description • Environment • Examples • graphical • important • learning • Life Sciences • Methods & Statistics in Ecology • Ökologie / Methoden, Statistik • popularity • Practical • Practice • research tools • SET • Statistical • Statistics • Textbook • theory
ISBN-10 1-4443-1963-9 / 1444319639
ISBN-13 978-1-4443-1963-7 / 9781444319637
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