Main 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.

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