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2.1 The Origins and Properties of Multiple Imputation Methods for Missing Data
2.1.1 A Short History of Imputation Methods
2.1.2 Why the Multiple Imputation Method?
2.1.3 Overview of Multiple Imputation Steps
2.2 Step 1—Defining the Imputation Model 16
2.2.1 Choosing the Variables to Include in the Imputation Model
2.2.2 Distributional Assumptions for the Imputation Model
2.3 Algorithms for the Multiple Imputation of Missing Values
2.3.1 General Theory for Multiple Imputation Algorithms
2.3.2 Methods for Monotone Missing Data Patterns
2.3.3 Methods for Arbitrary Missing Data Patterns
2.4 Step 2—Analysis of the MI Completed Data Sets
2.5 Step 3—Estimation and Inference for Multiply ...