Missing data. (©2002)
- Record Type:
- Book
- Title:
- Missing data. (©2002)
- Main Title:
- Missing data
- Other Titles:
- Sage research methods online
- Further Information:
- Note: Paul D. Allison.
- Other Names:
- Allison, Paul David
- Contents:
- Series Editor's Introduction; 1. Introduction; 2. Assumptions; Missing Completely at Random; Missing at Random; Ignorable; Nonignorable; 3. Conventional Methods; Listwise Deletion; Pairwise Deletion; Dummy Variable Adjustment; Imputation; Summary; 4. Maximum Likelihood; Review of Maximum Likelihood; ML With Missing Data; Contingency Table Data; Linear Models With Normally Distributed Data; The EM Algorithm; EM Example; Direct ML; Direct ML Example; Conclusion; 5. Multiple Imputation: Bascis; Single Random Imputation; Multiple Random Imputation; Allowing for Random Variation in the Parameter Estimates; Multiple Imputation Under the Multivariate Normal Model; Data Augmentation for the Multivariate Normal Model; Convergence in Data Augmentation; Sequential Verses Parallel Chains of Data Augmentation; Using the Normal Model for Nonnormal or Categorical Data; Exploratory Analysis; MI Example 1; 6. Multiple Imputation: Complications; Interactions and Nonlinearities in MI; Compatibility of the Imputation Model and the Analysis Model; Role of the Dependent Variable in Imputation; Using Additional Variables in the Imputation Process; Other Parametric Approaches to Multiple Imputation; Nonparametric and Partially Parametric Methods; Sequential Generalized Regression Models; Linear Hypothesis Tests and Likelihood Ratio Tests; MI Example 2; MI for Longitudinal and Other Clustered Data; MI Example 3; 7. Nonignorable Missing Data; Two Classes of Models; Heckman's Model for SampleSeries Editor's Introduction; 1. Introduction; 2. Assumptions; Missing Completely at Random; Missing at Random; Ignorable; Nonignorable; 3. Conventional Methods; Listwise Deletion; Pairwise Deletion; Dummy Variable Adjustment; Imputation; Summary; 4. Maximum Likelihood; Review of Maximum Likelihood; ML With Missing Data; Contingency Table Data; Linear Models With Normally Distributed Data; The EM Algorithm; EM Example; Direct ML; Direct ML Example; Conclusion; 5. Multiple Imputation: Bascis; Single Random Imputation; Multiple Random Imputation; Allowing for Random Variation in the Parameter Estimates; Multiple Imputation Under the Multivariate Normal Model; Data Augmentation for the Multivariate Normal Model; Convergence in Data Augmentation; Sequential Verses Parallel Chains of Data Augmentation; Using the Normal Model for Nonnormal or Categorical Data; Exploratory Analysis; MI Example 1; 6. Multiple Imputation: Complications; Interactions and Nonlinearities in MI; Compatibility of the Imputation Model and the Analysis Model; Role of the Dependent Variable in Imputation; Using Additional Variables in the Imputation Process; Other Parametric Approaches to Multiple Imputation; Nonparametric and Partially Parametric Methods; Sequential Generalized Regression Models; Linear Hypothesis Tests and Likelihood Ratio Tests; MI Example 2; MI for Longitudinal and Other Clustered Data; MI Example 3; 7. Nonignorable Missing Data; Two Classes of Models; Heckman's Model for Sample Selection Bias; ML Estimation With Pattern-Mixture Models; Multiple Imputation With Pattern-Mixture Models; 8. Summary and Conclusion; Notes; References; About the Author; … (more)
- Publisher Details:
- Thousand Oaks [Calif.] London : SAGE
- Publication Date:
- 2002
- Copyright Date:
- 2002
- Extent:
- 1 online resource (vi, 91 pages), illustrations
- Subjects:
- 519.54
Missing observations (Statistics)
Missing observations (Statistics)
Electronic books - Languages:
- English
- ISBNs:
- 9781412985079
1412985072
0761916725
9780761916727
9781452207902
1452207909 - Notes:
- Note: Includes bibliographical references.
Note: Includes bibliographical references and index.
Note: Print version record. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.16264
- Ingest File:
- 01_008.xml