Modern Applied Biostatistical Methods

Modern Applied Biostatistical Methods

Author: Steve Selvin

Publisher: Oxford University Press

ISBN: 9780199747733

Category: Medical

Page: 480

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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 and intermediate 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 fundamental concepts 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 statistical methods 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 makes extensive 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 simple overview of the S-PLUS language. The subsequent chapters use this valuable statistical tool to present a variety of analytic approaches.
Modern Applied Biostatistical Methods
Language: en
Pages: 480
Authors: Steve Selvin
Categories: Medical
Type: BOOK - Published: 1998-02-19 - Publisher: Oxford University Press

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 and intermediate analytic methods. The theoretical basis for each method is discussed with a
Biostatistics and Computer-based Analysis of Health Data using R
Language: en
Pages: 206
Authors: Christophe Lalanne, Mounir Mesbah
Categories: Medical
Type: BOOK - Published: 2016-07-13 - Publisher: Elsevier

Biostatistics and Computer-Based Analysis of Health Data Using the R Software addresses the concept that many of the actions performed by statistical software comes back to the handling, manipulation, or even transformation of digital data. It is therefore of primary importance to understand how statistical data is displayed and how
Biostatistics in Clinical Trials
Language: en
Pages: 528
Authors: Carol K. Redmond, Theodore Colton
Categories: Medical
Type: BOOK - Published: 2001-04-25 - Publisher: John Wiley & Sons

The second volume in the Wiley reference series in Biostatistics. Featuring articles from the prestigious Encyclopedia of Biostatistics, many of which have been fully revised and updated to include recent developments, Biostatistics in Clinical Trials also includes up to 25% newly commissioned material reflecting the latest thinking in: Bayesian methods
Modern Applied Biostatistical Methods:Using S-Plus
Language: en
Pages: 480
Authors: Steve Selvin
Categories: Medical
Type: BOOK - Published: 1998-02-19 - Publisher: Oxford University Press, USA

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 and intermediate analytic methods. The theoretical basis for each method is discussed with a
Biostatistics and Computer-based Analysis of Health Data using Stata
Language: en
Pages: 134
Authors: Christophe Lalanne, Mounir Mesbah
Categories: Computers
Type: BOOK - Published: 2016-09-06 - Publisher: Elsevier

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models