R for Healthcare Research is intended to show healthcare professionals, researchers, and students of healthcare research how to use the open-source statistical software R. It is designed for both novices and experienced users, guiding readers from the fundamentals of installing the software through to a careful and thorough coverage of the most widely used techniques in healthcare research and evidence-based medicine.

This textbook is structured to provide readers with a conceptual understanding of the theories, analyses, and models found in healthcare research, and to act as a practical guide for how to program these concepts in R. Volume I covers the basics of statistics, including data types, probability, and sampling, before moving on to survey common measures of disease and the most appropriate ways of displaying data. Readers will gain a solid grounding in how to conduct comparisons between groups, how to evaluate the strength of association, and how to check the accuracy of their tests.

Worked examples are consistently provided throughout, and each chapter concludes with exercises to familiarise readers with the topics covered. An R package hosting all of the referenced datasets accompanies this textbook.

About the Authors

Dr Jason Oke is a Senior Associate Tutor at the University of Oxford and Principal Statistician at Abbott Diabetes Care. His research has focussed on evaluating medical screening and diagnostic tests. He has published over 100 peer-reviewed articles in healthcare research.

Dr Mei-Man Lee is a teaching assistant at the University of Bath. She was a medical statistician at the University of Oxford, specialising in statistical modelling in healthcare research, and taught statistics to both undergraduate and master's students.

"About this title" may belong to another edition of this title.

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