| 书目名称 | Regression Modeling Strategies | | 副标题 | With Applications to | | 编辑 | Frank E. Harrell , Jr. | | 视频video | | | 概述 | Fully revised new edition features new material and color figures.Published with mature, supplementary R package: rms.New chapters and sections on generalized least squares for analysis of serial resp | | 丛书名称 | Springer Series in Statistics | | 图书封面 |  | | 描述 | .This highly anticipated second edition features new chapters and sections, 225 new references, and comprehensive R software. In keeping with the previous edition, this book is about the art and science of data analysis and predictive modelling, which entails choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasises problem solving strategies that address the many issues arising when developing multi-variable models using real data and not standard textbook examples. .Regression Modelling Strategies .presents full-scale case studies of non-trivial data-sets instead of over-simplified illustrations of each method. These case studies use freely available R functions that make the multiple imputation, model building, validation and interpretation tasks described in the book relatively easy to do. Most of the methods in this text apply to all regression models, but special emphasis is given to multiple regression using generalised least squares for longitudinal data, the binary logistic model, models for ordinal responses, parametric survival regression models and the Cox semi parametric survival model. A new emphasis is given to the robust anal | | 出版日期 | Textbook 2015Latest edition | | 关键词 | Generalized least squares; Linear models; Logistic regression; Predictive modeling; R statistical softwa | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-319-19425-7 | | isbn_softcover | 978-3-319-33039-6 | | isbn_ebook | 978-3-319-19425-7Series ISSN 0172-7397 Series E-ISSN 2197-568X | | issn_series | 0172-7397 | | copyright | Springer Nature Switzerland AG 2015 |
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发表于 2025-3-21 19:04:34
