1st Edition
Practical Statistics in Medicine with R Understanding Fundamental Concepts through Examples
Preface About the Author 1 R via RStudio 2 RStudio Projects 3 R as calculator 4 R functions 5 R packages 6 R objects 7 Atomic vectors 8 Matrices and arrays 9 Lists and data frames 10 Data import, preprocessing, and transformation 11 Data visualization with ggplot2 12 Introduction to Statistics 13 Basic concepts of probability 14 Probability distributions 15 Descriptive statistics 16 Populations and samples 17 Confidence intervals 18 Hypothesis testing 19 Independent samples t-test 20 Wilcoxon-Mann-Whitney test 21 Paired samples t-test 22 Wilcoxon Signed-Rank test 23 One-way Analysis of Variance 24 Kruskal-Wallis test 25 Categorical data analysis 26 Correlation methods 27 Simple linear regression 28 Survival analysis 29 Reliability of measurement 30 Measures of diagnostic test accuracy 31 Receiver Operating Characteristic (ROC) curve Bibliography Index
Biography
Konstantinos I. Bougioukas earned his PhD in Biostatistics and Research Methodology from the Faculty of Medicine at Aristotle University of Thessaloniki, Greece, in 2021. He has extensive experience teaching both basic and advanced statistics. He has mentored and guided students and researchers from diverse scientific backgrounds—including mathematics, medicine, biology, psychology, and health policy—in applying statistical methodologies and R programming. As a research methodologist and data analyst, he specializes in evidence synthesis—including systematic reviews and meta-analyses, overviews of reviews, and metaepidemiological studies—as well as advanced data analysis and data visualization techniques. He has authored over 40 peer-reviewed research articles published in high-impact medical journals such as the British Medical Journal (the BMJ), Research Synthesis Methods, and Journal of Clinical Epidemiology. Additionally, he has contributed to the development of three open-source R packages: ccaR, amstar2Vis, and musicolor.
