Biostatistics With 'R'. A Guide for Medical Doctors

1. Introduction
2. How “R” Works
3. Exploratory Data Analysis in “R”
4. Data Types in “R”
5. Data Distribution
6. Precision, Accuracy and Indices of Central Tendency
7. Correlation
8. Hypothesis Testing
9. Linear Regression
10. Logistic Regression
11. Time-to-Event Analysis
12. Propensity Score Matching

This book aims not only to introduce fundamental biostatistics topics but to explain them through R-project (R-studio). 'R' is perhaps the more used statistical software in the medical field. It is structured as a 'scientific journey' and comes with a sham yet realistic dataset ready to be analysed. The dataset along with the R-script can be downloaded from GitHub, and each chapter has dedicated scripts that will enhance the understanding of R and biostatistics. Specifically designed for whoever works in the medical-academic environment, this practical guide will help the reader to become familiar with basic to advanced biostatistics topic (descriptive - analysis / regression etc.) and to gain solid knowledge of R.