Lalanne Ch., Mesbah M. Biostatistics and Computer-based Analysis of Health Data using R

ISTE Press - Elsevier, 2016. — 206 p. — ISBN: 178548088X, 9781785480881, 9780081011751, 008101175XBiostatistics 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 variablesIncludes measures of association encountered in epidemiological studies, odds ratio, relative risk, and prevalencePresents 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 modelElements of the Language:
Descriptive Statistics and Estimation
Measures and Tests of Association Between Two Variables
Analysis of Variance and Experimental Design
Correlation and Linear Regression
Measures of Association in Epidemiology and Logistic Regression
Survival Data Analysis
Appendix 1 - Introduction to RStudio
Appendix 2 - Graphs with the Lattice Package
Appendix 3 - The Hmisc and rms Packages