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Modern Applied Biostatistical Methods: Using S-Plus
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ISBN 9780195120257
REGISTERED: 02/12/23
UPDATED: 07/12/25
Modern Applied Biostatistical Methods: Using S-Plus

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.


Specifications
  • Modern Applied Biostatistical Methods: Using S-Plus available on December 15 2015 from Buy for 75.82
  • ISBN bar code 9780195120257 ξ1 registered March 03 2016
  • ISBN bar code 9780195120257 ξ2 registered December 15 2015
  • Product category is Book

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 intohow 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.


References
    ^ Monographs in Epidemiology and Biostatistics Ser.: Modern Applied Biostatistical Methods : Using S-Plus 28 by Steve Selvin (1998, Hardcover) (revised Mar 2016)
    ^ Modern Applied Biostatistical Methods: Using S-Plus Buy. (revised Dec 2015)

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