Murray Logan

Biostatistical Design and Anal

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 576
• Erscheinungstermin: 10. Mai 2010
• Englisch
• Abmessung: 244mm x 170mm x 31mm
• Gewicht: 986g
• ISBN-13: 9781405190084
• ISBN-10: 1405190086
• Artikelnr.: 28707820

Autorenporträt

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.

Inhaltsangabe

1 Introduction to R 1 2 Datasets 3 Introductory statistical principles 4
Sampling and experimental design with R 5 Graphical data presentation 6
Simple hypothesis testing - one and two population tests 7 Introduction to
Linear models 8 Correlation and simple linear regression 9 Multiple and
curvilinear regression 10 Single factor classification (ANOVA) 11 Nested
ANOVA 12 Factorial ANOVA 13 Unreplicated factorial designs - randomized
block and simple repeated measures 14 Partly nested designs: split plot and
complex repeated measures 15 Analysis of covariance (ANCOVA) 16 Simple
Frequency Analysis 17 Generalized linear models (GLM)

Rezensionen

"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

"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)