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Statistical Analysis with Missing Data
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Author(s):
Roderick J. A. Little
,
Donald B. Rubin
Publication date
(Print):
August 26 2002
Publisher:
John Wiley & Sons, Inc.
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Core Readings in Statistical Mediation Analysis
Author and book information
Book
ISBN (Electronic):
9781119013563
ISBN (Print):
9780471183860
Publication date (Print):
August 26 2002
DOI:
10.1002/9781119013563
SO-VID:
df2e7898-5acd-4c6c-81b1-06d0f81996d6
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Book chapters
pp. i
Front Matter
pp. 1
Introduction
pp. 24
Missing Data in Experiments
pp. 41
Complete-Case and Available-Case Analysis, Including Weighting Methods
pp. 59
Single Imputation Methods
pp. 75
Estimation of Imputation Uncertainty
pp. 95
Theory of Inference Based on the Likelihood Function
pp. 133
Factored Likelihood Methods, Ignoring the Missing-Data Mechanism
pp. 164
Maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse
pp. 190
Large-Sample Inference Based on Maximum Likelihood Estimates
pp. 200
Bayes and Multiple Imputation
pp. 221
Multivariate Normal Examples, Ignoring the Missing-Data Mechanism
pp. 253
Robust Estimation
pp. 266
Models for Partially Classified Contingency Tables, Ignoring the Missing-Data Mechanism
pp. 292
Mixed Normal and Non-Normal Data with Missing Values, Ignoring the Missing-Data Mechanism
pp. 312
Nonignorable Missing-Data Models
pp. 349
References
pp. 365
Author Index
pp. 371
Subject Index
pp. 383
Wiley Series in Probability and Statistics
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