Basic Concepts in Statistics and Epidemiology
eBook - ePub

Basic Concepts in Statistics and Epidemiology

  1. 224 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Basic Concepts in Statistics and Epidemiology

About this book

This book contains a Foreword by Allyson Pollock, Professor and Head, Centre for International Public Health Policy, University of Edinburgh. Healthcare students, practitioners and researchers need a sound basis for making valid statistical inferences from health data. To make the best use of statistical software, it is necessary to understand how probabilistic inference works. This book explains that, along with the various ways statistical data can be described and presented. It is designed to develop insight rather than simply the mechanical skills found in other textbooks. This book is specifically designed to underpin the concepts of statistics and epidemiology. It is practical and easy to use and is ideal for people who can feel uncomfortable with mathematics. 'Excellent. A great primer for all students and research workers engaged in learning how to use statistical ideas in public health. It sets out the core concepts and explains them clearly, using worked examples as illustration. If followed carefully, the engaged reader should be able to use the standard statistical software packages intelligently and sensitively. It will stimulate the public health student, in whatever context, and new researchers, to approach the enterprise with enhanced confidence in interpreting and coherently explaining their findings.' - Allyson Pollock, in the Foreword.

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Yes, you can access Basic Concepts in Statistics and Epidemiology by Theodore H. MacDonald,Denis Pereira Gray in PDF and/or ePUB format, as well as other popular books in Medicine & Medical Theory, Practice & Reference. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Halftitle Page
  3. Copyright Page
  4. Contents
  5. Foreword
  6. Preface
  7. Acknowledgements
  8. Chapter 1: Describing a mass of data
  9. Chapter 2: A necessary glimpse of probability
  10. Chapter 3: Using the normal curve
  11. Chapter 4: An approximation to the normal curve
  12. Chapter 5: Testing samples
  13. Chapter 6: Testing small samples
  14. Chapter 7: A taste of epidemiology
  15. Chapter 8: From binomial to Poisson
  16. Chapter 9: Non-parametric statistics
  17. Chapter 10: For the algebraically innocent
  18. Chapter 11: The Gini coefficient
  19. Chapter 12: Correlation a measure of relatedness
  20. Chapter 13: The problem of prediction
  21. Chapter 14: Introducing ANOVA
  22. Chapter 15: A brief introduction to designing a research project
  23. Appendix
  24. Appendix
  25. Appendix
  26. Appendix
  27. Appendix
  28. Appendix
  29. Appendix
  30. Appendix
  31. Appendix
  32. Appendix
  33. Index