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E-BOOK
Title Applied missing data analysis in the health sciences / Xiao-Hua Zhou, Chuan Zhou, Danping Liu, Xiaobo Ding.
Imprint Hoboken, New Jersey : John Wiley & Sons, [2014]

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Description 1 online resource
Series Statistics in practice.
Bibliog. Includes bibliographical references and index.
Note Available only to authorized UTEP users.
Print version record and CIP data provided by publisher.
Subject Medical statistics.
Medicine -- Research -- Statistical methods.
Data Interpretation, Statistical.
Biomedical Research -- methods.
Models, Statistical.
Research Design.
Genre Electronic books.
Contents Missing data concepts and motivating examples -- Overview of methods for dealing with missing data -- Design considerations in the presence of missing data -- Crosssectional data methods -- Longitudinal data methods -- Survival analysis under ignorable missingness -- Nonignorable missingness.
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.
Other Author Zhou, Chuan, 1972- author.
Liu, Danping, 1981- author.
Ding, Xiaobo, author.
Other Title Print version: Zhou, Xiao-Hua. Applied missing data analysis in the health sciences. Hoboken, New Jersey : John Wiley & Sons, Inc., [2014] 9780470523810