Erhältlich:
Nicht auf Lager
Buch (Hardcover): Fachbuch
Applied Missing Data Analysis in the Health Sciences
Verlag:
John Wiley & Sons Unsere-Artikel-Nr.: P35844365
EAN: 9780470523810
Erhältlich:
Nicht auf Lager
Zustellung: Do, 22.10.2026
Versand: Kostenlos
-15.1 %
CHF 166.–
CHF 141.–
Beschreibung
Applied Missing Data Analysis in the Health Sciences. A modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics. With an emphasis on hands-on applications, Applied Missing Data Analysis in the Health Sciences. outlines the various statistical methods for the analysis of missing data. The authors acknowledge the limitations of established techniques and provide newly-developed methods with concrete applications in areas such as causal inference. Organized by types of data, chapter coverage begins with an overall introduction to the existence and limitations of missing data and continues into techniques for missing data inference, including likelihood-based, weighted GEE, multiple imputation, and Bayesian methods. The book subsequently covers cross-sectional, longitudinal, hierarchical, survival data. In addition, Applied Missing Data Analysis in the Health Sciences. features:. Multiple data sets that can be replicated using SAS®, Stata®, R, and WinBUGS software packages. Numerous examples of case studies to illustrate real-world scenarios and demonstrate applications of discussed methodologies. Detailed appendices to guide readers through the use of the presented data in various software environments. Applied Missing Data Analysis in the Health Sciences. is an excellent textbook for upper-undergraduate and graduate-level biostatistics courses as well as an ideal resource for health science researchers and applied statisticians.
Spezifikationen
Sprache
- Englisch
Autor
- Zhou Xiao-Hua
- Zhou Chuan
- Lui Danping
- Ding Xaiobo
Erscheinungsjahr
- 2014
Format
- Buch (Hardcover)
Anzahl Seiten
- 256