Applied missing data analysis in the health sciences /
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| Author / Creator: | Zhou, Xiao-Hua, author. |
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| Imprint: | Hoboken, New Jersey : John Wiley & Sons, [2014] |
| Description: | 1 online resource |
| Language: | English |
| Series: | Statistics in practice. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/13617142 |
| Summary: | Applied Missing Data Analysis in the Health Sciences <p> A modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics </p> <p>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.</p> <p>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:</p> 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 <p> 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.</p> |
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| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781118573648 1118573641 9781118573631 1118573633 9781118573716 1118573714 0470523816 9780470523810 |