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Biostatistics and Computer-based Analysis of Health Data using R
Through an approach that addresses the concept that many of the actions performed by statistical software comes back to the handling, manipulation, or even transformation of digital data, this book provides basic commands and data tables that help readers apply advanced statistical concepts to their own data and software.
Christophe Lalanne (Author), Mounir Mesbah (Author)
9781785480881, Elsevier Science
Hardback, published 12 July 2016
206 pages
22.9 x 15.1 x 2 cm, 0.34 kg
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 it can be exploited by software such as R. In this book, the authors explore basic and variable commands, sample comparisons, analysis of variance, epidemiological studies, and censored data. With proposed applications and examples of commands following each chapter, this book allows readers to apply advanced statistical concepts to their own data and software.
Chapter 1. Language ElementsChapter 2. Descriptive statistics and estimationChapter 3. Measures and tests of association between two variablesChapter 4. Variance Analysis of devariance and Experiments DesignChapter 5. Correlation and linear regressionChapter 6. Measures of association in epidemiology and logistical regressionChapter 7. Analysis of Survival Data
Subject Areas: Computer programming / software development [UM], Enterprise software [UFL], Probability & statistics [PBT], Medical bioinformatics [MBF]
