Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies
Author:   Yulei He ,  Guangyu Zhang ,  Chiu-Hsieh Hsu (Epidemiology and Biostatistics Division, University of Arizona, USA) ,  Nathaniel Schenker (National Center for Health Statistics, Hyattsville, MD, USA)
Publisher:   Taylor & Francis Inc
ISBN:  

9781498722063


Pages:   476
Publication Date:   26 November 2021
Format:   Hardback
Availability:   In Print   Availability explained
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Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies


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Author:   Yulei He ,  Guangyu Zhang ,  Chiu-Hsieh Hsu (Epidemiology and Biostatistics Division, University of Arizona, USA) ,  Nathaniel Schenker (National Center for Health Statistics, Hyattsville, MD, USA)
Publisher:   Taylor & Francis Inc
Imprint:   Chapman & Hall/CRC
Weight:   0.843kg
ISBN:  

9781498722063


ISBN 10:   1498722067
Pages:   476
Publication Date:   26 November 2021
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Introduction. 2. Statistical Background. 3. Multiple Imputation Analysis: Basics. 4. Multiple Imputation for Univariate Missing Data: Parametric Methods. 5. Multiple Imputation for Univariate Missing Data: Robust Methods. 6. Multiple Imputation for Multivariate Missing Data: the Joint Modeling Approach. 7. Multiple Imputation for Multivariate Missing Data: the Fully Conditional Specification Approach. 8. Multiple Imputation in Survival Data Analysis. 9. Multiple Imputation for Longitudinal Data. 10. Multiple Imputation Analysis for Complex Survey Data. 11. Multiple Imputation for Data Subject to Measurement Error. 12. Multiple Imputation Diagnostics.

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Yulei He and Guangyu Zhang are mathematical statisticians at the National Center for Health Statistics, the U.S. Centers for Disease Control and Prevention. Chiu-Heish Hsu is a Professor of Biostatistics at the University of Arizona. All authors have researched, taught, and consulted in multiple imputation and missing data analysis in the past 20 years.

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