Titlebook: Biostatistics with R; An Introduction to S Babak Shahbaba Book 2012 Springer Science+Business Media, LLC 2012 Biostatistics.R applications

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978-1-4614-1301-1Springer Science+Business Media, LLC 2012

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Organization

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Regression Analysis,on by focusing on situations where there is only one explanatory variable. We refer to these models as simple linear regression models. We then extend simple linear regression models to multiple linear regression models, where there are two or more explanatory variables.

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Statistical Inference for the Relationship Between Two Variables, investigate the difference between the two groups with respect to the characteristic represented by the numerical variable. Next, we discuss situations where both variables are binary. Finally, we talk about the situations where both variables are numerical.

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Book 2012ls. The book is ideal for instructors of basic statistics for biologists and other health scientists. 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. .

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2197-5736 ated by real examples.Intended for a wide range of readers.I.Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The develop

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