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Quantitative Methods for Health Research: A Practical Interactive Guide st 3

Quantitative Methods for Health Research: A Practical Interactive Guide st 3

Quantitative Methods for Health Research: A Practical Interactive Guide st 3
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Quantitative Methods for Health Research: A Practical Interactive Guide st 3 Paperback - 2018

by Nigel Bruce

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  • Title Quantitative Methods for Health Research: A Practical Interactive Guide st 3
  • Author Nigel Bruce
  • Binding Paperback
  • Condition New
  • Pages 576
  • Volumes 1
  • Language ENG
  • Publisher Wiley-Blackwell
  • Publication date 2018-02-12
  • Abridged Yes
  • Features Abridged, Bibliography, Index
  • Bookseller's Inventory # 1118665414
  • ISBN 9781118665411 / 1118665414
  • Weight 2.3 lbs (1.04 kg)
  • Dimensions 9.9 x 7 x 1 in (25.15 x 17.78 x 2.54 cm)
  • Category Medical / Nursing
  • Library of Congress subjects Epidemiologic Methods, Biometry - methods
  • Library of Congress Catalogue Number 2017030435
  • Dewey Decimal Code 614.407
  • Quantity available 1

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Reader reviews for Quantitative Methods for Health Research: A Practical Interactive Guide st 3

From the publisher

A practical introduction to epidemiology, biostatistics, and research methodology for the whole health care community

This comprehensive text, which has been extensively revised with new material and additional topics, utilizes a practical slant to introduce health professionals and students to epidemiology, biostatistics, and research methodology. It draws examples from a wide range of topics, covering all of the main contemporary health research methods, including survival analysis, Cox regression, and systematic reviews and meta-analysis--the explanation of which go beyond introductory concepts. This second edition of Quantitative Methods for Health Research: A Practical Interactive Guide to Epidemiology and Statistics also helps develop critical skills that will prepare students to move on to more advanced and specialized methods.

A clear distinction is made between knowledge and concepts that all students should ensure they understand, and those that can be pursued further by those who wish to do so. Self-assessment exercises throughout the text help students explore and reflect on their understanding. A program of practical exercises in SPSS (using a prepared data set) helps to consolidate the theory and develop skills and confidence in data handling, analysis, and interpretation. Highlights of the book include:

  • Combining epidemiology and bio-statistics to demonstrate the relevance and strength of statistical methods
  • Emphasis on the interpretation of statistics using examples from a variety of public health and health care situations to stress relevance and application
  • Use of concepts related to examples of published research to show the application of methods and balance between ideals and the realities of research in practice
  • Integration of practical data analysis exercises to develop skills and confidence
  • Supplementation by a student companion website which provides guidance on data handling in SPSS and study data sets as referred to in the text

Quantitative Methods for Health Research, Second Edition is a practical learning resource for students, practitioners and researchers in public health, health care and related disciplines, providing both a course book and a useful introductory reference.

From the rear cover

A practical introduction to epidemiology, biostatistics, and research methodology for the whole health care community

This comprehensive text, which has been extensively revised with new material and additional topics, utilizes a practical slant to introduce health professionals and students to epidemiology, biostatistics, and research methodology. It draws examples from a wide range of topics, covering all of the main contemporary health research methods, including survival analysis, Cox regression, and systematic reviews and meta-analysis--the explanation of which go beyond introductory concepts. This second edition of Quantitative Methods for Health Research: A Practical Interactive Guide to Epidemiology and Statistics also helps develop critical skills that will prepare students to move on to more advanced and specialized methods.

A clear distinction is made between knowledge and concepts that all students should ensure they understand, and those that can be pursued further by those who wish to do so. Self-assessment exercises throughout the text help students explore and reflect on their understanding. A program of practical exercises in SPSS (using a prepared data set) helps to consolidate the theory and develop skills and confidence in data handling, analysis, and interpretation. Highlights of the book include:

  • Combining epidemiology and bio-statistics to demonstrate the relevance and strength of statistical methods
  • Emphasis on the interpretation of statistics using examples from a variety of public health and health care situations to stress relevance and application
  • Use of concepts related to examples of published research to show the application of methods and balance between ideals and the realities of research in practice
  • Integration of practical data analysis exercises to develop skills and confidence
  • Supplementation by a student companion website which provides guidance on data handling in SPSS and study data sets as referred to in the text

Quantitative Methods for Health Research, Second Edition is a practical learning resource for students, practitioners and researchers in public health, health care and related disciplines, providing both a course book and a useful introductory reference.

About the author

Nigel Bruce, PhD is Emeritus Professor of Public Health at the Department of Public Health and Policy, University of Liverpool, UK.

Daniel Pope, PhD is Senior Lecturer in Epidemiology and Public Health at the Department of Public Health and Policy, University of Liverpool, UK.

Debbi Stanistreet, PhD is Senior Lecturer and Faculty Director of Widening Participation at the Department of Public Health and Policy, University of Liverpool, UK.

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