Biostatistics and Computer-based Analysis of Health Data using R
Nonfiction, Science & Nature, Mathematics, Statistics, Computers, Application Software, Business Software
| Author: | Christophe Lalanne, Mounir Mesbah | ISBN: | 9780081011751 |
| Publisher: | Elsevier Science | Publication: | July 13, 2016 |
| Imprint: | ISTE Press - Elsevier | Language: | English |
| Author: | Christophe Lalanne, Mounir Mesbah |
| ISBN: | 9780081011751 |
| Publisher: | Elsevier Science |
| Publication: | July 13, 2016 |
| Imprint: | ISTE Press - Elsevier |
| 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 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.
- 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
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.
- 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
