Readings Newsletter
Become a Readings Member to make your shopping experience even easier.
Sign in or sign up for free!
You’re not far away from qualifying for FREE standard shipping within Australia
You’ve qualified for FREE standard shipping within Australia
The cart is loading…
This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This book provides an introduction to epidemiological research and statistical methods covering key concepts and all the main types of epidemiological study. It elicits a critical understanding of the purpose and context of quantitative research including the basis for selecting appropriate research designs from a thorough grounding in the uses and methods of epidemiology; key statistical concepts and techniques needed for the basic analysis of data; critical evaluation of statistical and epidemiological techniques in health research.
The book has been designed around a number of core published information dealing with various topics from the United Kingdom, Europe and the low- and middle-income countries. These studies have been chosen to introduce you to a wide range of study methods. The main intriguing aspects of their design provide examples which are used to help you understand the fundamental principles of good research, and to practise these techniques yourself.
The topics covered in this book include the following: scientific method and introductory concepts; routine data sources and descriptive epidemiology; surveys; cohort studies; case-control studies; and critical appraisal of research evidence.
This book will be a valuable resource to health professionals, researchers, statisticians, data scientists, health programmers, policymakers, medical students, graduate and postgraduate students in public health and related disciplines.
$9.00 standard shipping within Australia
FREE standard shipping within Australia for orders over $100.00
Express & International shipping calculated at checkout
This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This book provides an introduction to epidemiological research and statistical methods covering key concepts and all the main types of epidemiological study. It elicits a critical understanding of the purpose and context of quantitative research including the basis for selecting appropriate research designs from a thorough grounding in the uses and methods of epidemiology; key statistical concepts and techniques needed for the basic analysis of data; critical evaluation of statistical and epidemiological techniques in health research.
The book has been designed around a number of core published information dealing with various topics from the United Kingdom, Europe and the low- and middle-income countries. These studies have been chosen to introduce you to a wide range of study methods. The main intriguing aspects of their design provide examples which are used to help you understand the fundamental principles of good research, and to practise these techniques yourself.
The topics covered in this book include the following: scientific method and introductory concepts; routine data sources and descriptive epidemiology; surveys; cohort studies; case-control studies; and critical appraisal of research evidence.
This book will be a valuable resource to health professionals, researchers, statisticians, data scientists, health programmers, policymakers, medical students, graduate and postgraduate students in public health and related disciplines.