Applied Missing Data Analysis in the Health Sciences



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Éditeur :

Wiley


Collection :

Statistics in Practice

Paru le : 2014-05-15



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Description
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.
Pages
256 pages
Collection
Statistics in Practice
Parution
2014-05-15
Marque
Wiley
EAN papier
9780470523810
EAN PDF
9781118573631

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
256
Taille du fichier
5878 Ko
Prix
117,05 €
EAN EPUB
9781118573648

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
256
Taille du fichier
3912 Ko
Prix
117,05 €