Applied missing data analysis in the health sciences, Xiao-Hua Zhou, Chuan Zhou, Danping Liu, Xiaobo Ding
Type
Label
Applied missing data analysis in the health sciences, Xiao-Hua Zhou, Chuan Zhou, Danping Liu, Xiaobo Ding
Language
eng
Bibliography note
Includes bibliographical references and index
Index
index present
Literary Form
non fiction
Main title
Applied missing data analysis in the health sciences
Nature of contents
bibliographydictionaries
Oclc number
1864808991
Responsibility statement
Xiao-Hua Zhou, Chuan Zhou, Danping Liu, Xiaobo Ding
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
Table Of 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