Modern Applied Biostatistical Methods: Using S-Plus

Hardcover | March 1, 1998

bySteve Selvin

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Statistical analysis typically involves applying theoretically generated techniques to the description and interpretation of collected data. In this text, theory, application and interpretation are combined to present the entire biostatistical process for a series of elementary andintermediate analytic methods. The theoretical basis for each method is discussed with a minimum of mathematics and is applied to a research data example using a computer system called S-PLUS. This system produces concrete numerical results and increases one's understanding of the fundamentalconcepts and methodology of statistical analysis. Combining statistical logic, data and computer tools, the author explores such topics as random number generation, general linear models, estimation, analysis of tabular data, analysis of variance and survival analysis. The end result is a clear and complete explanation of the way statisticalmethods can help one gain an understanding of collected data. Modern Applied Biostatistical Methods is unlike other statistical texts, which usually deal either with theory or with applications. It integrates the two elements into a single presentation of theoretical background, data,interpretation, graphics, and implementation. This all-around approach will be particularly helpful to students in various biostatistics and advanced epidemiology courses, and will interest all researchers involved in biomedical data analysis. This text is not a computer manual, even though it makesextensive use of computer language to describe and illustrate applied statistical techniques. This makes the details of the statistical process readily accessible, providing insight into how and why a statistical method identifies the properties of sampled data. The first chapter gives a simpleoverview of the S-PLUS language. The subsequent chapters use this valuable statistical tool to present a variety of analytic approaches.

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Statistical analysis typically involves applying theoretically generated techniques to the description and interpretation of collected data. In this text, theory, application and interpretation are combined to present the entire biostatistical process for a series of elementary andintermediate analytic methods. The theoretical basis fo...

Steve Selvin, Ph.D., is Professor of Biostatistics and Epidemiology at the University of California School of Public Health, Berkeley. He is also the author of Statistical Analysis of Epidemiologic Data, 2nd ed. (OUP, 1996).

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Format:HardcoverDimensions:480 pages, 9.21 × 6.3 × 1.61 inPublished:March 1, 1998Publisher:Oxford University Press

The following ISBNs are associated with this title:

ISBN - 10:0195120256

ISBN - 13:9780195120257

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Table of Contents

1. S-Language2. Descriptive Techniques3. Simulation4. General Linear Models5. Estimation: Maximum Likelihood, Bootstrap, Least Squares6. Analysis of Tabular Data7. Analysis of Variance and Some Other S-Functions8. Rates, Life Tables and Survival

Editorial Reviews

"This book flows nicely and is enjoyable to read...A wealth of examples are helpful for targeted biostatistical analyses and/or building one's understanding of S-PLUS."--JASA, June 2001