R for Healthcare Research - Volume I: Basic Statistical Methods
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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 intended both for novices and experienced users of R, 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 both a conceptual understanding of the theories, analyses and models found in healthcare research as well as to act as a pr...
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 intended both for novices and experienced users of R, 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 both a conceptual understanding of the theories, analyses and models found in healthcare research as well as to act as a practical guide for how to programme 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 of how to conduct group comparisons, evaluate the strength of associations, and 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.
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