Applied Longitudinal Analysis
Praise for the First Edition . . . [this book] should be on the shelf of everyone interested in . . . longitudinal data analysis. -Journal of the American Statistical Association Features newly developed topics and applications of the analysis of longitudinal data Applied Longitudinal Analysis, Second Edition presents modern methods for analyzing data from longitudinal studies and now features the latest state-of-the-art techniques. The book emphasizes practical, rather than theoretical, aspects of methods for the analysis of diverse types of longitudinal data that can be applied across various fields of study, from the health and medical sci…
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Produktdetails
Weitere Autoren: Laird, Nan M. / Ware, James H.
- ISBN: 978-1-118-55179-0
- EAN: 9781118551790
- Produktnummer: 16384186
- Verlag: Wiley
- Sprache: Englisch
- Erscheinungsjahr: 2012
- Seitenangabe: 752 S.
- Plattform: EPUB
- Masse: 6'689 KB
- Auflage: 2. Aufl.
Über den Autor
Garrett M. Fitzmaurice, ScD, is Professor in the Department of Biostatistics at the Harvard School of Public Health and Director of the Laboratory for Psychiatric Biostatistics at McLean Hospital. A Fellow of the American Statistical Association and advisor for the Wiley Series in Probability and Statistics, Dr. Fitzmaurice's areas of research interest include statistical methods for analyzing discrete longitudinal data and methods for handling missing data. Nan M. Laird, PhD, is Professor of Biostatistics at the Harvard School of Public Health. A Fellow of the American Statistical Association and Institute of Mathematical Sciences, she has published extensively in the areas of statistical genetics, longitudinal studies, missing or incomplete data, and analysis of multiple informant data. James H. Ware, PhD, is Frederick Mosteller Professor of Biostatistics at the Harvard School of Public Health. A Fellow of the American Statistical Association and statistical consultant to the New England Journal of Medicine, he has made significant contributions to the development of statistical methods for the design and analysis of longitudinal studies.
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