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Regression Modeling Strategies - With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Paperback, Softcover reprint of the original 2nd ed. 2015) Loot Price: R1,778
Discovery Miles 17 780
Regression Modeling Strategies - With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis...
Regression Modeling Strategies - With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis...

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Regression Modeling Strategies - With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Paperback, Softcover reprint of the original 2nd ed. 2015)

Frank E. Harrell , Jr.

Series: Springer Series in Statistics

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Loot Price R1,778 Discovery Miles 17 780 | Repayment Terms: R165 pm x 12*

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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 analysis of continuous dependent variables using ordinal regression. As in the first edition, this text is intended for Masters' or PhD. level graduate students who have had a general introductory probability and statistics course and who are well versed in ordinary multiple regression and intermediate algebra. The book will also serve as a reference for data analysts and statistical methodologists, as it contains an up-to-date survey and bibliography of modern statistical modelling techniques.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Series in Statistics
Release date: October 2016
First published: 2015
Authors: Frank E. Harrell , Jr.
Dimensions: 254 x 178 x 31mm (L x W x T)
Format: Paperback
Pages: 582
Edition: Softcover reprint of the original 2nd ed. 2015
ISBN-13: 978-3-319-33039-6
Barcode: 9783319330396
Categories: Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
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Books > Science & Mathematics > Mathematics > Probability & statistics
LSN: 3-319-33039-X

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