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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 modern statistical methods for the analysis...

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Bibliographic Details
Main Authors: Zhou, Xiao-Hua, Zhou, Chuan (Author), Liu, Danping (Author), Ding, Xiaobo (Author)
Format: eBook
Language:English
Published: Hoboken, New Jersey John Wiley & Sons 2014
Subjects:
Medical / Osteopathy / Bisacsh
Medical Statistics / Fast
Data Interpretation, Statistical
Health & Fitness / Holism / Bisacsh
Medicine / Research / Statistical Methods
Medicine / Research / Statistical Methods / Fast
Medical / Alternative Medicine / Bisacsh
Models, Statistical
Medical Statistics / Http://id.loc.gov/authorities/subjects/sh85083031
Biomedical Research / Methods
Medical / Essays / Bisacsh
Medical / Atlases / Bisacsh
Medical / Family & General Practice / Bisacsh
Médecine / Recherche / Méthodes Statistiques
Research Design
Medical / Holistic Medicine / Bisacsh
Health & Fitness / Reference / Bisacsh
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary: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
Physical Description:1 online resource
ISBN:9781118573716
1118573714
1118573641
0470523816
9781118573631
9781118573648
9780470523810
1118573633

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