Applied missing data analysis in the health sciences /

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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 modern statistical methods for the analysis...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Zhou, Xiao-Hua (Autor), Zhou, Chuan, 1972- (Autor), Liu, Danping, 1981- (Autor), Ding, Xiaobo (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, New Jersey : John Wiley & Sons, [2014]
Colección:Statistics in practice.
Temas:
Medical statistics.
Medicine > Research > Statistical methods.
Data Interpretation, Statistical
Biomedical Research > methods
Models, Statistical
Research Design
Médecine > Recherche > Méthodes statistiques.
HEALTH & FITNESS > Holism.
HEALTH & FITNESS > Reference.
MEDICAL > Alternative Medicine.
MEDICAL > Atlases.
MEDICAL > Essays.
MEDICAL > Family & General Practice.
MEDICAL > Holistic Medicine.
MEDICAL > Osteopathy.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario: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 modern 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 methods and the field of diagnostic medicine.
Descripción Física:1 online resource
Bibliografía:Includes bibliographical references and index.
ISBN:9781118573648
1118573641
9781118573631
1118573633
9781118573716
1118573714
0470523816
9780470523810

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