| 书目名称 | Marginal Models | | 副标题 | For Dependent, Clust | | 编辑 | Jacques A.‘Hagenaars,Marcel A. Croon,Wicher Bergsm | | 视频video | http://file.papertrans.cn/624/623870/623870.mp4 | | 概述 | Includes supplementary material: | | 丛书名称 | Statistics for Social and Behavioral Sciences | | 图书封面 |  | | 描述 | .Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answering important research questions when dependent observations are involved, as the many real world examples in this book show...In the social, behavioral, educational, economic, and biomedical sciences, data are often collected in ways that introduce dependencies in the observations to be compared. For example, the same respondents are interviewed at several occasions, several members of networks or groups are interviewed within the same survey, or, within families, both children and parents are investigated. Statistical methods that take the dependencies in the data into account must then be used, e.g., when observations at time one and time two are compared in longitudinal studies. At present, researchers almost automatically turn to multi-level models or to GEE estimation to deal with these dependencies. Despite the enormous potential and applicability of these recent developments, they require restrictive assumptions on the n | | 出版日期 | Book 2009 | | 关键词 | Fitting; Interview; Likelihood; calculus; categorical data; correlated observations; dependent observation | | 版次 | 1 | | doi | https://doi.org/10.1007/b12532 | | isbn_softcover | 978-1-4419-1873-4 | | isbn_ebook | 978-0-387-09610-0Series ISSN 2199-7357 Series E-ISSN 2199-7365 | | issn_series | 2199-7357 | | copyright | Springer-Verlag New York 2009 |
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