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Biostatistics and Computer-based Analysis of Health Data Using SAS - 1st Edition - ISBN: 9781785481116, 9780081011713

Biostatistics and Computer-based Analysis of Health Data Using SAS

1st Edition

Authors: Christophe Lalanne Mounir Mesbah
Hardcover ISBN: 9781785481116
eBook ISBN: 9780081011713
Imprint: ISTE Press - Elsevier
Published Date: 23rd June 2017
Page Count: 174
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This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research.
The use of SAS for data management and statistical modeling is illustrated using various examples.  Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics.

This practical book is primarily intended for health researchers with a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis).  The use of examples from clinical trials and epidemiological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential SAS commands.

Key Features

  • Presents the use of SAS software in the statistical approach for the management of data modeling
  • Includes elements of the language and descriptive statistics
  • Supplies measures of association, comparison of means, and proportions for two or more samples
  • Explores linear and logistic regression
  • Provides survival data analysis


Statistical/medical students as well as statisticians who would like to learn SAS software

Table of Contents

1. Language Elements
2. Simple Descriptive Statistics
3. Measures of Association, Comparison of Means or Proportions
4. Correlation, Linear Regresion
5. Logistic Regression
6. Survival Curves, Cox Regression


No. of pages:
© ISTE Press - Elsevier 2017
23rd June 2017
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

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