Multiple Imputation and its Application

✍ Scribed by James R. Carpenter, Michael G. Kenward(auth.)

• Tongue: English
• Leaves: 360
• Category: Library

✦ Synopsis

Content:
Chapter 1 Introduction (pages 1–36):
Chapter 2 The Multiple Imputation Procedure and its Justification (pages 37–73):
Chapter 3 Multiple Imputation of Quantitative Data (pages 75–89):
Chapter 4 Multiple Imputation of Binary and Ordinal Data (pages 90–111):
Chapter 5 Multiple Imputation of Unordered Categorical Data (pages 112–126):
Chapter 6 Nonlinear Relationships (pages 127–146):
Chapter 7 Interactions (pages 147–164):
Chapter 8 Survival Data, Skips and Large Datasets (pages 165–202):
Chapter 9 Multilevel Multiple Imputation (pages 203–228):
Chapter 10 Sensitivity Analysis: MI Unleashed (pages 229–268):
Chapter 11 Including Survey Weights (pages 269–281):
Chapter 12 Robust Multiple Imputation (pages 282–305):