Committee login






Small thumbnail

Nonlinear Theory of Elastic Plates

Small thumbnail

Exterior Algebras

Elementary Tribute to Grassmann's Ideas

Small thumbnail

From Pinch Methodology to Pinch-Exergy Integration of Flexible Systems

Thermodynamics Energy, Environment, Economy Set

Small thumbnail

Data Treatment in Environmental Sciences

Multivaried Approach

Small thumbnail

Gas Hydrates 1

Fundamentals, Characterization and Modeling

Small thumbnail

Smart Decisions in Complex Systems

Small thumbnail

Chi-squared Goodness-of-fit Tests for Censored Data

Stochastic Models in Survival Analysis and Reliability Set Volume 3

Small thumbnail

Baidu SEO

Challenges and Intricacies of Marketing in China

Small thumbnail

Supply Chain Management and Business Performance

The VASC Model

Small thumbnail

Asymmetric Alliances and Information Systems

Issues and Prospects

Small thumbnail

Biostatistics and Computer-based Analysis of Health Data using R

Biostatistics and Health Science Set

Christophe Lalanne, Paris-Diderot University, France Mounir Mesbah, Pierre-Marie Curie University, Paris, France

ISBN: 9781785480881

Publication Date: July 2016   Hardback   206 pp.

130.00 USD

Add to cart




This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research, epidemiology, economics, sociology of health and medical biology.
Medical statistics are a valuable scientific resource for practitioners who want to calculate the normal value of a biological size, assess the reliability of a review or estimate the risk of complication of a medical condition. The statistical programming software R can compile and effectively analyze these medical data for various practical applications.
This book provides a progressive introduction to R whereby readers will be able to perform their own comprehensive analyses. Originally designed for practical instruction, the authors offer a coherent and unified approach to biostatistics techniques encountered in clinical research studies and epidemiology.


1. Elements of the Language.
2. Descriptive Statistics and Estimation.
3. Measures and Tests of Association Between Two Variables.
4. Analysis of Variance and Experimental Design.
5. Correlation and Linear Regression.
6. Measures of Association in Epidemiology and Logistic Regression.
7. Survival Data Analysis.

About the Authors

Christophe Lalanne is a Research Engineer at the Paris-Diderot University, France. His research involves the modeling of data from clinical research.
Mounir Mesbah is Head of Biostatistics in the Statistics Institute of the Pierre-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.


DownloadTable of Contents - PDF File - 94 Kb

Related Titles

0.01888 s.