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Quantitative Methods for Health Research: A Practical Interactive Guide to Epidemiology and Statistics

"Quantitative Research Methods for Health Professionals: A Practical Interactive Course" is a superb introduction to epidemiology, biostatistics, and research methodology for the whole health care community. Drawing examples from a wide range of health research, this practical handbook covers important contemporary health research methods such as survival analysis, Cox regression, and meta-analysis, the understanding of which go beyond introductory concepts. The book includes self-assessment exercises throughout to help students explore and reflect on their understanding and a clear distinction is made between a) knowledge and concepts that all students should ensure they understand and b) those that can be pursued by students who wish to do so. The authors incorporate a program of practical exercises in SPSS using a prepared data set that helps to consolidate the theory and develop skills and confidence in data handling, analysis and interpretation.
Quantitative Methods for Health Research: A Practical Interactive Guide to Epidemiology and Statistics
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This title is a practical introduction to epidemiology, biostatistics and research methodology for the whole health care community. It covers important contemporary health research methods such as survival analysis, Cox regression and meta--analysis and provides the reader with the critical skills to move on to much more advanced and specialist methods. An excellent tool for students and health professionals requiring sound knowledge of Quantitative Research Methods Incorporates self--assessment exercises throughout to help students explore and reflect on their understanding Includes practical exercises in SPSS to help students consolidating the theory and develop skills and confidence in data handling, analysis and interpretation
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Preface. Acknowledgements. 1. Philosophy of science and introduction to epidemiology. 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. Introduction and learning objectives. 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 Summary of routinely available data. 2.6 Descriptive epidemiology in action. 2.7 Overview of epidemiological study designs. 2.8 Answers to self-assessment exercises. 3. Standardisation. Introduction and learning objectives. 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. Introduction and learning objectives. 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. Introduction and learning objectives. 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 Confounding. 5.8 Simple linear regression. 5.9 Introduction to multiple linear regression. 5.10 Answers to self-assessment exercises. 6. Case-control studies. Introduction and learning objectives. 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. Introduction and learning objectives. 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 How big should the trial be?. 7.6 Further aspects of intervention study design and analysis. 7.7 Answers to self-assessment exercises. 8. Life tables, survival analysis and Cox regression. Introduction and learning objectives. 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. Introduction and learning objectives. 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 The Cochrane Collaboration. 9.5 Answers to self-assessment exercises. 10. Prevention strategies and evaluation of screening . Introduction and learning objectives. 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. Introduction and learning objectives. 11.1 Probability distributions. 11.2 Data that do not 'fit' a probability distribution. 11.3 Hypothesis testing. 11.4 Choosing an appropriate hypothesis test. 11.5 Bayesian methods. 11.6 Answers to self-assessment exercises. Bibliography. Index.
A superb introduction to epidemiology, biostatistics, and research methodology for health.
  • Introduces concepts in a practical way.
  • Integrates epidemiology and bio-statistics to highlight the relevance and power of statistical methods.
  • Emphasizes the interpretation of statistics using examples from a variety of health care situations to stress relevance and application.
  • Research concepts related to examples of published research show the application of methods and balance between ideals and the realities of research in practice.
  • Integrates practical data analysis exercises to develop skills and confidence.
Author
Nigel Bruce, Daniel Pope
Short Title
QUANTITATIVE METHODS FOR HEALT
Publisher
Wiley-Interscience
Language
English
ISBN-10
0470022744
ISBN-13
9780470022740
Media
Book
Format
Hardcover
DEWEY
362.107
Year
2008
Publication Date
2008-05-31
Imprint
Wiley-Blackwell
Subtitle
A Practical Interactive Guide to Epidemiology and Statistics
Alternative
9780470725337
Illustrations
Illustrations
Edition
1st
Pages
552
Series
Wiley Desktop Editions
Residence
US
Birth
1895
Death
1953
Affiliation
University of Liverpool, UK
Audience
Professional and Scholarly
Place of Publication
Hoboken
Country of Publication
United States
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