COVID-19 Update: We are currently shipping orders daily. However, due to transit disruptions in some geographies, deliveries may be delayed. To provide all customers with timely access to content, we are offering 50% off Science and Technology Print & eBook bundle options. Terms & conditions.
Biostatistics and Computer-based Analysis of Health Data using R - 1st Edition - ISBN: 9781785480881, 9780081011751

Biostatistics and Computer-based Analysis of Health Data using R

1st Edition

0.0 star rating Write a review
Authors: Christophe Lalanne Mounir Mesbah
Hardcover ISBN: 9781785480881
eBook ISBN: 9780081011751
Imprint: ISTE Press - Elsevier
Published Date: 11th July 2016
Page Count: 206
Sales tax will be calculated at check-out Price includes VAT/GST
Price includes VAT/GST

Institutional Subscription

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.


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


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

Table of Contents

Chapter 1. Language Elements
Chapter 2. Descriptive statistics and estimation
Chapter 3. Measures and tests of association between two variables
Chapter 4. Variance Analysis of devariance and Experiments Design
Chapter 5. Correlation and linear regression
Chapter 6. Measures of association in epidemiology and logistical regression
Chapter 7. Analysis of Survival Data


No. of pages:
© ISTE Press - Elsevier 2016
11th July 2016
ISTE Press - Elsevier
Hardcover ISBN:
eBook ISBN:

About the Authors

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

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

Ratings and Reviews