Applied Linear Regression for Longitudinal Data
eBook - ePub

Applied Linear Regression for Longitudinal Data

With an Emphasis on Missing Observations

  1. 226 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Applied Linear Regression for Longitudinal Data

With an Emphasis on Missing Observations

About this book

This book introduces best practices in longitudinal data analysis at intermediate level, with a minimum number of formulas without sacrificing depths. It meets the need to understand statistical concepts of longitudinal data analysis by visualizing important techniques instead of using abstract mathematical formulas. Different solutions such as multiple imputation are explained conceptually and consequences of missing observations are clarified using visualization techniques. Key features include the following:

  • Provides datasets and examples online
  • Gives state-of-the-art methods of dealing with missing observations in a non-technical way with a special focus on sensitivity analysis
  • Conceptualises the analysis of comparative (experimental and observational) studies

It is the ideal companion for researchers and students in epidemiological, health, and social and behavioral sciences working with longitudinal studies without a mathematical background.

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Yes, you can access Applied Linear Regression for Longitudinal Data by Frans E.S. Tan,Shahab Jolani 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

Table of contents

  1. Cover Page
  2. Half Title page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication
  7. Contents
  8. Preface
  9. Acknowledgements
  10. Short Description of Research and Simulation Studies
  11. 1 Scientific Framework of Data Analysis
  12. 2 Revisiting and Shortcomings of Standard Linear Regression Models
  13. 3 An Introduction to the Analysis of Longitudinal Data
  14. 4 Model Building for Longitudinal Data Analysis
  15. 5 Analysis of a Pre/Post Measurement Design
  16. 6 Analysis of Longitudinal Life-Event Studies
  17. 7 Analysis of Longitudinal Experimental Studies
  18. References
  19. Index