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Biostatistics and Computer-based Analysis of Health Data using R

  • 1st Edition - July 11, 2016
  • Latest edition
  • Authors: Christophe Lalanne, Mounir Mesbah
  • Language: English

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 ha… Read more

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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.

Key features

  • 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

Readership

Statistical/medical students, as well as statisticians who would like to switch from another stat software to R

Table of contents

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

Product details

  • Edition: 1
  • Latest edition
  • Published: July 13, 2016
  • Language: English

About the authors

CL

Christophe Lalanne

Christophe Lalanne is a Research Engineer at the Paris-Diderot University, France. His research involves the modeling of data from clinical research
Affiliations and expertise
Paris-Diderot University, France

MM

Mounir Mesbah

Mounir 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.
Affiliations and expertise
University Pierre et Marie Curie, France

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