Front Cover ; Biostatistics and Computer-based Analysis of Health Data using R ; Copyright ; Contents; Introduction; Chapter 1: Elements of the Language ; 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; Chapter 2: Descriptive Statistics and Estimation; 2.1. Summarizing a numerical variable ; 2.2. Summarizing a categorical variable
2.3. Graphically representing the distribution of a variable2.4. Interval estimation for a mean or a proportion ; 2.5. Key points; 2.6. Applications; Chapter 3: Measures and Tests of Association Between Two Variables; 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; Chapter 4: Analysis of Variance and Experimental Design; 4.1. Data representation and descriptive statistics ; 4.2. One-way ANOVA
4.3. Non-parametric one-way ANOVA4.4. Two-way ANOVA; 4.5. Key points; 4.6. Applications; Chapter 5: Correlation and Linear Regression; 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; Chapter 6: Measures of Association in Epidemiology and Logistic Regression; 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; Chapter 7: Survival Data Analysis
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; Back Cover
