
Biostatistics and Computer-based Analysis of Health Data using R
Description
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
Readership
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
Product details
- No. of pages: 206
- Language: English
- Copyright: © ISTE Press - Elsevier 2016
- Published: July 11, 2016
- Imprint: ISTE Press - Elsevier
- eBook ISBN: 9780081011751
- Hardcover ISBN: 9781785480881
About the Authors
Christophe Lalanne
Affiliations and Expertise
Mounir Mesbah
Affiliations and Expertise
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