| Biostatistics: A Computing Approach Contributor(s): Anderson, Stewart (Author) |
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ISBN: 1584888342 ISBN-13: 9781584888345 Publisher: CRC Press OUR PRICE: $95.00 Product Type: Hardcover - Other Formats Published: January 2012 Annotation: Focusing on visualization and computational approaches with an emphasis on the importance of simulation, Biostatistics introduces modern and classical biostatistical methods and compares their respective usefulness. The book covers essential topics in biostatistical science, including simple linear regression, multivariate regression, repeated measure, nonparametric analysis, survival analysis, sample size, and power calculations. Assuming only basic knowledge of probability and statistics, the text offers numerous practical applications and detailed worked examples taken from the medical area, all computed using R and SAS, as well as exercises with solutions. |
| Additional Information |
| BISAC Categories: - Medical | Biostatistics - Mathematics | Probability & Statistics - General |
| Dewey: 570.151 |
| Series: Chapman & Hall/ CRC Biostatistics |
| Physical Information: 0.8" H x 6.1" W x 9.3" (1.25 lbs) 328 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: The emergence of high-speed computing has facilitated the development of many exciting statistical and mathematical methods in the last 25 years, broadening the landscape of available tools in statistical investigations of complex data. Biostatistics: A Computing Approach focuses on visualization and computational approaches associated with both modern and classical techniques. Furthermore, it promotes computing as a tool for performing both analyses and simulations that can facilitate such understanding. As a practical matter, programs in R and SAS are presented throughout the text. In addition to these programs, appendices describing the basic use of SAS and R are provided. Teaching by example, this book emphasizes the importance of simulation and numerical exploration in a modern-day statistical investigation. A few statistical methods that can be implemented with simple calculations are also worked into the text to build insight about how the methods really work. Suitable for students who have an interest in the application of statistical methods but do not necessarily intend to become statisticians, this book has been developed from Introduction to Biostatistics II, which the author taught for more than a decade at the University of Pittsburgh. |