Statistical Thinking in Epidemiology
eBook - PDF

Statistical Thinking in Epidemiology

  1. 231 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Statistical Thinking in Epidemiology

Book details
Table of contents
Citations

About This Book

While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to choose the appropriate statistical methods and correctly interpret their results. Statistical Thinking in Epidemiology examines common methodological and statistical problems

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Yes, you can access Statistical Thinking in Epidemiology by Yu-Kang Tu, Mark Gilthorpe in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2016
ISBN
9781420099928
Edition
1
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Contents
  3. Preface
  4. Chapter 1 - Introduction
  5. Chapter 2 - Vector Geometry of Linear Models for Epidemiologists
  6. Chapter 3 - Path Diagrams and Directed Acyclic Graphs
  7. Chapter 4 - Mathematical Coupling and Regression to the Mean in the Relation between Change and Initial Value
  8. Chapter 5 - Analysis of Change in Pre-/Post-Test Studies
  9. Chapter 6 - Collinearity and Multicollinearity
  10. Chapter 7 - Is ‘Reversal Paradox’ a Paradox?
  11. Chapter 8 - Testing Statistical Interaction
  12. Chapter 9 - Finding Growth Trajectories in Lifecourse Research
  13. Chapter 10 - Partial Least Squares Regression for Lifecourse Research
  14. Chapter 11 - Concluding Remarks
  15. References
  16. Back Cover