9781800617186 - R For Healthcare Research - Volume I: Basic Statistical Methods de Oke, Jason; Lee, Mei-man (19 resultados)

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HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Hardback. Condición: New. 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.

Condición: New.

Hardback. Condición: New. 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.

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Hardcover. Condición: Brand New. 328 pages. 6.00x0.78x9.00 inches. In Stock.

Hardback. Condición: New. 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.

Hardback. Condición: New. 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.

Hardcover. Condición: new. Hardcover. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condición: new. Hardcover. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condición: new. Hardcover. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condición: Neu. R FOR HEALTHCARE RESEARCH (V1) | Oke Jason L | Buch | Englisch | 2026 | WSPC (Europe) | EAN 9781800617186 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.