Essential Statistical Skills for Public Health Practice: With R (en Inglés) - Russell Kabir

Quantitative literacy has become an indispensable skill for researchers, clinicians, policy analysts, and students across the health and social sciences. Yet a persistent gap exists between statistical textbooks that assume prior programming expertise and those that sacrifice rigour in the name of accessibility. This book is designed to occupy exactly that middle ground — rigorous enough for postgraduate study and professional research, yet accessible enough for anyone encountering R for the first time.

Using R, the world's leading open-source environment for statistical computing, this book guides readers through a coherent analytical workflow from raw data to publication-ready results. Grounded in real and realistic public health datasets, every concept is illustrated with executable R code that readers can replicate, adapt, and build upon. The emphasis throughout is on practical application, reproducible analysis, and clear interpretation of results — not just on running procedures.

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Written by an international team of public health researchers, biostatisticians, and data scientists, this book is an essential companion for MSc and PhD students, academic researchers, and public health practitioners who wish to develop confident, reproducible analytical skills in R.