Quantitative methods for health research a practical interactive guide to epidemiology and statistics 2nd Edition by Nigel Bruce, Daniel Pope, Debbi Stanistreet ISBN 1118665406 978-1118665404

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Product details:

ISBN 10:      1118665406

ISBN 13: 978-1118665404 

Author:      Nigel Bruce, Daniel Pope, Debbi Stanistreet

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. 

 

Quantitative methods for health research a practical interactive guide to epidemiology and statistics 2nd  Table of contents:

1. Introduction and Learning Objectives

   • 1.1 Approaches to Scientific Research
   • 1.2 Formulating a Research Question
   • 1.3 Rates: Incidence and Prevalence
   • 1.4 Concepts of Prevention
   • 1.5 Answers to Self-Assessment Exercises

2. Routine Data Sources and Descriptive Epidemiology

   • 2.1 Routine Collection of Health Information
   • 2.2 Descriptive Epidemiology
   • 2.3 Information on the Environment
   • 2.4 Displaying, Describing, and Presenting Data
   • 2.5 Routinely Available Health Data
   • 2.6 Descriptive Epidemiology in Action
   • 2.7 Overview of Epidemiological Study Designs
   • 2.8 Answers to Self-Assessment Exercises

3. Standardisation

   • 3.1 Health Inequalities in Merseyside
   • 3.2 Indirect Standardisation: Calculation of the Standardised Mortality Ratio (SMR)
   • 3.3 Direct Standardisation
   • 3.4 Standardisation for Factors Other Than Age
   • 3.5 Answers to Self-Assessment Exercises

4. Surveys

   • 4.1 Purpose and Context
   • 4.2 Sampling Methods
   • 4.3 The Sampling Frame
   • 4.4 Sampling Error, Confidence Intervals, and Sample Size
   • 4.5 Response
   • 4.6 Measurement
   • 4.7 Data Types and Presentation
   • 4.8 Answers to Self-Assessment Exercises

5. Cohort Studies

   • 5.1 Why Do a Cohort Study?
   • 5.2 Obtaining the Sample
   • 5.3 Measurement
   • 5.4 Follow-Up
   • 5.5 Basic Presentation and Analysis of Results
   • 5.6 How Large Should a Cohort Study Be?
   • 5.7 Assessing Whether an Association is Causal
   • 5.8 Simple Linear Regression
   • 5.9 Introduction to Multiple Linear Regression
   • 5.10 Answers to Self-Assessment Exercises

6. Case–Control Studies

   • 6.1 Why Do a Case–Control Study?
   • 6.2 Key Elements of Study Design
   • 6.3 Basic Unmatched and Matched Analysis
   • 6.4 Sample Size for a Case–Control Study
   • 6.5 Confounding and Logistic Regression
   • 6.6 Answers to Self-Assessment Exercises

7. Intervention Studies

   • 7.1 Why Do an Intervention Study?
   • 7.2 Key Elements of Intervention Study Design
   • 7.3 The Analysis of Intervention Studies
   • 7.4 Testing More Complex Interventions
   • 7.5 Analysis of Intervention Studies Using a Cluster Design
   • 7.6 How Big Should the Intervention Study Be?
   • 7.7 Intervention Study Registration, Management, and Reporting
   • 7.8 Answers to Self-Assessment Exercises

8. Life Tables, Survival Analysis, and Cox Regression

   • 8.1 Survival Analysis
   • 8.2 Cox Regression
   • 8.3 Current Life Tables
   • 8.4 Answers to Self-Assessment Exercises

9. Systematic Reviews and Meta-Analysis

   • 9.1 The Why and How of Systematic Reviews
   • 9.2 The Methodology of Meta-Analysis
   • 9.3 Systematic Reviews and Meta-Analyses of Observational Studies
   • 9.4 Reporting and Publishing Systematic Reviews and Meta-Analyses
   • 9.5 The Cochrane Collaboration
   • 9.6 Answers to Self-Assessment Exercises

10. Prevention Strategies and Evaluation of Screening

• 10.1 Concepts of Risk
• 10.2 Strategies of Prevention
• 10.3 Evaluation of Screening Programmes
• 10.4 Cohort and Period Effects
• 10.5 Answers to Self-Assessment Exercises

11. Probability Distributions, Hypothesis Testing, and Bayesian Methods

• 11.1 Probability Distributions
• 11.2 Data That Do Not Fit a Probability Distribution
• 11.3 Hypothesis Testing: Summary of Common Parametric and Non-Parametric Methods
• 11.4 Choosing an Appropriate Hypothesis Test
• 11.5 Bayesian Methods
• 11.6 Answers to Self-Assessment Exercises

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