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<i>'Au[P]rovides 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!'Au</i><br /><br />'Ai<b>Bhavesh Barad, MD, East Tennessee State University Quillen College of Medicine, <i>Doody's Reviews</i></b><br /><br />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 t