| 书目名称 | Modeling Longitudinal Data | | 编辑 | Robert E. Weiss | | 视频video | | | 概述 | Covers both the regression modeling aspect and the covariance modeling issues.Coverage includes initial data exploration, model specification and building and inference.Includes supplementary material | | 丛书名称 | Springer Texts in Statistics | | 图书封面 |  | | 描述 | .Longitudinal data are ubiquitous across Medicine, Public Health, Public Policy, Psychology, Political Science, Biology, Sociology and Education, yet many longitudinal data sets remain improperly analyzed. This book teaches the art and statistical science of modern longitudinal data analysis. The author emphasizes specifying, understanding, and interpreting longitudinal data models. He inspects the longitudinal data graphically, analyzes the time trend and covariates, models the covariance matrix, and then draws conclusions...Covariance models covered include random effects, autoregressive, autoregressive moving average, antedependence, factor analytic, and completely unstructured models among others. Longer expositions explore: an introduction to and critique of simple non-longitudinal analyses of longitudinal data, missing data concepts, diagnostics, and simultaneous modeling of two longitudinal variables. Applications and issues for random effects models cover estimation, shrinkage, clustered data, models for binary and count data and residuals and residual plots. Shorter sections include a general discussion of how computational algorithms work, handling transformed data, and b | | 出版日期 | Textbook 2005 | | 关键词 | Analysis of variance; Covariance matrix; Excel; Regression analysis; data analysis; modeling; sets | | 版次 | 1 | | doi | https://doi.org/10.1007/0-387-28314-5 | | isbn_softcover | 978-1-4419-2321-9 | | isbn_ebook | 978-0-387-28314-2Series ISSN 1431-875X Series E-ISSN 2197-4136 | | issn_series | 1431-875X | | copyright | Springer-Verlag New York 2005 |
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发表于 2025-3-21 17:19:03
