Multiple imputation of missing data in practice : basic theory and analysis strategies /

Bibliographic Details
Main Authors:	He, Yulei (Author), Zhang, Guangyu (Statistician) (Author), Hsu, Chiu-Hsieh (Author)
Corporate Author:	EBSCOhost
Format:	eBook
Language:	English
Published:	Boca Raton, FL : A Chapman & Hall Book, CRC Press, 2022.
Subjects:	Missing observations (Statistics) Multiple imputation (Statistics) Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Statistical background
Multiple imputation analysis : basics
Multiple imputation for univariate missing data : parametric methods
Multiple imputation for univariate missing data : robust methods
Multiple imputation for multivariate missing data : the joint modeling approach
Multiple imputation for multivariate missing data : the fully conditional specification approach
Multiple imputation in survival data analysis
Multiple imputation for longitudinal data
Multiple imputation analysis for complex survey data
Multiple imputation for data subject to measurement error
Multiple imputation diagnostics
Multiple imputation analysis for nonignorable missing data
Some advanced topics.