Biostatistics and Computer based Analysis of Health Data using R 1st Edition by Christophe Lalanne, Mounir Mesbah ISBN 9780081011751 008101175X

1: Elements of the Language

Abstract

1.1 Before proceeding

1.2 Data representation in R

1.3 Selection of observations

1.4 Representation and processing of missing values

1.5 Importing and storing data

1.6 Multidimensional data management

1.7 Key points

1.8 Going further

1.9 Applications

2: Descriptive Statistics and Estimation

Abstract

2.1 Summarizing a numerical variable

2.2 Summarizing a categorical variable

2.3 Graphically representing the distribution of a variable

2.4 Interval estimation for a mean or a proportion

2.5 Key points

2.6 Applications

3: Measures and Tests of Association Between Two Variables

Abstract

3.1 Bivariate descriptive statistics

3.2 Comparisons of two group means

3.3 Comparisons of proportions

3.4 Risk and odds ratio measures

3.5 Non-parametric approaches and exact tests

3.6 Key points

3.7 Going further

3.8 Applications

4: Analysis of Variance and Experimental Design

Abstract

4.1 Data representation and descriptive statistics

4.2 One-way ANOVA

4.3 Non-parametric one-way ANOVA

4.4 Two-way ANOVA

4.5 Key points

4.6 Applications

5: Correlation and Linear Regression

Abstract

5.1 Descriptive statistics

5.2 Simple linear regression

5.3 Multiple linear regression

5.4 Key points

5.5 Going further

5.6 Applications

6: Measures of Association in Epidemiology and Logistic Regression

Abstract

6.1 Contingency tables and measures of association

6.2 Diagnostic studies

6.3 Logistic regression

6.4 ROC curve

6.5 Key points

6.6 Applications

7: Survival Data Analysis

Abstract

7.1 Data representation and descriptive statistics

7.2 Survival function and Kaplan-Meier curve

7.3 Cox regression

7.4 Key points

7.5 Going further

7.6 Applications

Appendix 1: Introduction to RStudio

A1.1 Getting started

A1.2 Writing R scripts

A1.3 Management of the R session

Appendix 2: Graphs with the Lattice Package

A2.1 Why the lattice package?

A2.2 Principal types of graphics

A2.3 General options for the customization of charts

A2.4 Specific options

A2.5 Graphical composition

A2.6 Going further

Appendix 3: The Hmisc and rms Packages

A3.1 The Hmisc essential commands

A3.2 Descriptive statistics

A3.3 The essential rms commands

Bibliography

Index