Longitudinal Data Analysis
eBook - PDF

Longitudinal Data Analysis

  1. 632 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Longitudinal Data Analysis

About this book

Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory

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Yes, you can access Longitudinal Data Analysis by Garrett Fitzmaurice, Marie Davidian, Geert Verbeke, Geert Molenberghs, Garrett Fitzmaurice,Marie Davidian,Geert Verbeke,Geert Molenberghs 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
2008
Print ISBN
9781584886587
eBook ISBN
9781420011579
Edition
1
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Cover
  2. Title
  3. Copyright
  4. Dedication
  5. Contents
  6. Preface
  7. Editors
  8. Contributors
  9. PART I: Introduction and Historical Overview
  10. CHAPTER 1: Advances in longitudinal data analysis: An historical perspective
  11. PART II: Parametric Modeling of Longitudinal Data
  12. CHAPTER 2: Parametric modeling of longitudinal data: Introduction and overview
  13. CHAPTER 3: Generalized estimating equations for longitudinal data analysis
  14. CHAPTER 4: Generalized linear mixed-effects models
  15. CHAPTER 5: Non-linear mixed-effects models
  16. CHAPTER 6: Growth mixture modeling: Analysis with non-Gaussian random effects
  17. CHAPTER 7: Targets of inference in hierarchical models for longitudinal data
  18. PART III: Non-Parametric and Semi-Parametric Methods for Longitudinal Data
  19. CHAPTER 8: Non-parametric and semi-parametric regression methods: Introduction and overview
  20. CHAPTER 9: Non-parametric and semi-parametric regression methods for longitudinal data
  21. CHAPTER 10: Functional modeling of longitudinal data
  22. CHAPTER 11: Smoothing spline models for longitudinal data
  23. CHAPTER 12: Penalized spline models for longitudinal data
  24. PART IV: Joint Models for Longitudinal Data
  25. CHAPTER 13: Joint models for longitudinal data: Introduction and overview
  26. CHAPTER 14: Joint models for continuous and discrete longitudinal data
  27. CHAPTER 15: Random-effects models for joint analysis of repeated-measurement and time-to-event outcomes
  28. CHAPTER 16: Joint models for high-dimensional longitudinal data
  29. PART V: Incomplete Data
  30. CHAPTER 17: Incomplete data: Introduction and overview
  31. CHAPTER 18: Selection and pattern-mixture models
  32. CHAPTER 19: Shared-parameter models
  33. CHAPTER 20: Inverse probability weighted methods
  34. CHAPTER 21: Multiple imputation
  35. CHAPTER 22: Sensitivity analysis for incomplete data
  36. CHAPTER 23: Estimation of the causal effects of time-varying exposures
  37. Author Index
  38. Subject Index