Statistical analysis with missing data

by Little, Roderick J. A. Rubin, Donald B.

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Title Statements

Full title :Statistical analysis with missing data.

Edition Statements

Publication Date:2009.
Edition:2nd ed

Publication Statements

Publisher(s):Wiley
Place of Publication:Hoboken, N.J
Language:eng
Publication Date:2009.

Notes

Contents: Pt. I. Overview and Basic Approaches -- 1. Introduction -- 2. Missing Data in Experiments -- 3. Complete-Case and Available-Case Analysis, Including Weighting Methods -- 4. Single Imputation Methods -- 5. Estimation of Imputation Uncertainty -- Pt. II. Likelihood-Based Approaches to the Analysis of Missing Data -- 6. Theory of Inference Based on the Likelihood Function -- 7. Factored Likelihood Methods, Ignoring the Missing-Data Mechanism -- 8. Maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse -- 9. Large-Sample Inference Based on Maximum Likelihood Estimates -- 10. Bayes and Multiple Imputation -- Pt. III. Likelihood-Based Approaches to the Analysis of Incomplete Data: Some Examples -- 11. Multivariate Normal Examples, Ignoring the Missing-Data Mechanism -- 12. Robust Estimation -- 13. Models for Partially Classified Contingency Tables, Ignoring the Missing-Data Mechanism -- 14. Mixed Normal and Non-normal Data with Missing Values, Ignoring the Missing-Data Mechanism -- 15. Nonignorable Missing-Data Models.