Book contents
- Frontmatter
- Contents
- List of Figures
- List of Tables
- Preface
- Acknowledgements
- Notes on Notation
- Part I Concepts, Theory, and Implementation
- Part II Model Evaluation and Interpretation
- Part III The Generalized Linear Model
- Part IV Advanced Topics
- 11 Strategies for Temporal Dependence: Duration Models
- 12 Strategies for Missing Data
- Part V A Look Ahead
- Bibliography
- Index
12 - Strategies for Missing Data
from Part IV - Advanced Topics
Published online by Cambridge University Press: 15 November 2018
- Frontmatter
- Contents
- List of Figures
- List of Tables
- Preface
- Acknowledgements
- Notes on Notation
- Part I Concepts, Theory, and Implementation
- Part II Model Evaluation and Interpretation
- Part III The Generalized Linear Model
- Part IV Advanced Topics
- 11 Strategies for Temporal Dependence: Duration Models
- 12 Strategies for Missing Data
- Part V A Look Ahead
- Bibliography
- Index
Summary
Discusses problems induced by missing data and the multiple imputation strategies for dealing with it.Introduces and compares EM and Gaussian copula imputation methods.
- Type
- Chapter
- Information
- Maximum Likelihood for Social ScienceStrategies for Analysis, pp. 249 - 270Publisher: Cambridge University PressPrint publication year: 2018