Biostatistics and Computer-based Analysis of Health Data using R



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Éditeur :

Iste Press - Elsevier


Paru le : 2016-07-13



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Description
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. - Features useful commands for describing a data table composed made up of quantitative and qualitative variables - Includes measures of association encountered in epidemiological studies, odds ratio, relative risk, and prevalence - Presents an analysis of censored data, the key main tests associated with the construction of a survival curve (log-rank test or Wilcoxon), and the Cox regression model
Pages
206 pages
Collection
n.c
Parution
2016-07-13
Marque
Iste Press - Elsevier
EAN papier
9781785480881
EAN PDF
9780081011751

Informations sur l'ebook
Nombre pages copiables
20
Nombre pages imprimables
20
Taille du fichier
3994 Ko
Prix
98,06 €
EAN EPUB SANS DRM
9780081011751

Prix
98,06 €

Christophe Lalanne is a Research Engineer at the Paris-Diderot University, France. His research involves the modeling of data from clinical researchMounir Mesbah is Head of Biostatistics in the Statistics Institute of the Pierre and Marie Curie University in Paris, France, where he is also a researcher at the Theoretical and Applied Statistics Laboratory. His research involves theoretical and applied statistics, particularly in the field of health and medicine.

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