Multiple Imputation of Missing Data in Practice
Basic Theory and Analysis Strategies
Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis. Over the past 40 years or so, multiple imputation has gone through rapid development in both theories and applications. It is nowadays the most versatile, popular, and effective missing-data strategy that is used by researchers and practitioners across different fields. There is a strong need to better understand and learn about multiple imputation in the research and practical community.Accessible to a broad audienc…
Mehr
CHF 110.30
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
Versandkostenfrei
Produktdetails
Weitere Autoren: Zhang, Guangyu / Hsu, Chiu-Hsieh
- ISBN: 978-1-4987-2207-0
- EAN: 9781498722070
- Produktnummer: 36692718
- Verlag: Taylor & Francis Ltd.
- Sprache: Englisch
- Erscheinungsjahr: 2021
- Seitenangabe: 494 S.
- Plattform: PDF
- Auflage: 1. Auflage
- Abbildungen: 47 schwarz-weiße Abbildungen, 47 schwarz-weiße Zeichnungen, 111 schwarz-weiße Tabellen
Über den Autor
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.
2 weitere Werke von Yulei He:
Bewertungen
Anmelden