Topics in Modelling of Clustered Data
eBook - PDF

Topics in Modelling of Clustered Data

  1. 340 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Topics in Modelling of Clustered Data

About this book

Many methods for analyzing clustered data exist, all with advantages and limitations in particular applications. Compiled from the contributions of leading specialists in the field, Topics in Modelling of Clustered Data describes the tools and techniques for modelling the clustered data often encountered in medical, biological, environmental, and s

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Information

Publisher
Chapman and Hall/CRC
Year
2002
Print ISBN
9780367396107
Edition
1
eBook ISBN
9781420035889
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Contents
  2. List of Contributors
  3. Editors’ Biographical Sketches
  4. Preface
  5. Acknowledgments
  6. List of tables
  7. List of figures
  8. CHAPTER 1 Introduction
  9. CHAPTER 2 Motivating Examples
  10. CHAPTER 3 Issues in Modeling Clustered Data
  11. CHAPTER 4 Model Families
  12. CHAPTER 5 Generalized Estimating Equations
  13. CHAPTER 6 Pseudo-likelihood Estimation
  14. CHAPTER 7 Pseudo-likelihood Inference
  15. CHAPTER 8 Flexible Polynomial Models
  16. CHAPTER 9 Assessing the Fit of a Model
  17. CHAPTER 10 Quantitative Risk Assessment
  18. CHAPTER 11 Model Misspecification
  19. CHAPTER 12 Exact Dose-Response Inference
  20. CHAPTER 13 Individual Level Covariates
  21. CHAPTER 14 Combined Continuous and DiscreteOutcomes
  22. CHAPTER 15 Multilevel Modeling of Complex SurveyData
  23. APPENDIX A Bahadur Parameter Space
  24. References
  25. Index

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Yes, you can access Topics in Modelling of Clustered Data by Marc Aerts,Geert Molenberghs,Louise M. Ryan,Helena Geys in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over 1.5 million books available in our catalogue for you to explore.