
Biostatistics with R by Babak Shahbaba
Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text.-
A Primer of Ecology with R
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Introductory Time Series with R
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Bayesian Networks in R
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ggplot2
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A Users Guide to Network Analysis in R
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Bayesian Computation with R
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R For Marketing Research and Analytics
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Data Manipulation with R
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Applied Spatial Data Analysis with R
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R Coding for Ecology
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Bayesian Cost-Effectiveness Analysis with the R package BCEA
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Geostatistics for Compositional Data with R
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Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R
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Behavioral Research Data Analysis with R
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Discrete Choice Analysis with R
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R by Example
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Semiparametric Regression with R
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Heart Rate Variability Analysis with the R package RHRV
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Modeling Psychophysical Data in R
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Elements of Copula Modeling with R
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Modern Optimization with R
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Cultural Analytics in R: A Tidy Approach
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An Introduction to Web Mining
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Numerical Ecology with R
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Morphometrics with R
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Analysis of Integrated and Cointegrated Time Series with R
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Multistate Analysis of Life Histories with R
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Computerized Adaptive and Multistage Testing with R
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Analyzing Compositional Data with R
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Solving Differential Equations in R
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Functional and Phylogenetic Ecology in R
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Functional Data Analysis with R and MATLAB
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Mixture and Hidden Markov Models with R
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Singular Spectrum Analysis with R
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Retirement Income Recipes in R
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Quality Control with R
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Analysis of Phylogenetics and Evolution with R
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Dynamic Linear Models with R
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Applied Survival Analysis Using R
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Magnetic Resonance Brain Imaging
From the reviews:
“It presents the statistical concepts/methods starting with biological examples and leads the reader using R commands as guidelinesThe author uses all opportunities to emphasize the close connection between statistics and other fields, making this textbook a good start for interdisciplinary studies. … written for a broad range of readers, from undergraduates to researchers, from readers with a strong statistical background who wish to understand how to approach biological data sets, to readers who wish to use statistical methods to mine for information.” (Irina Ioana Mohorianu, zbMATH, Vol. 1275, 2014)
This book is, however, unique and distinct from others in the field that it presents R-Commander - a useful tool for teaching basic statistics to students who do not have a computer programming background. The Appendix A provides the simple instructions for its installation on a computer and introduces the reader to the R-Commander window. The author presents statistical methods by their direct application to numerous past scientific studies that are publicly available. In addition, the various data sets are available online and can be downloaded which makes the text ideal as a teaching aid. A balance has been struck between mathematical rigour and readability; with more complex concepts that are of limited application in everyday analyses relegated to the end of each chapter in Advanced sections.
International Statistical Review, 81, 3, 2013, Review by Carl M.O’Brien
| SKU | Unavailable |
| ISBN 13 | 9781461413011 |
| ISBN 10 | 146141301X |
| Title | Biostatistics with R |
| Author | Babak Shahbaba |
| Series | Use R! |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer-Verlag New York Inc. |
| Year published | 2011-12-14 |
| Number of pages | 352 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |







































