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Regression modeling strategies: with applications to linear models, logistic and ordinal regression, and survival analysis

Frank E. Harrell, Jr. (Springer International Publishing, 2015)

 Abstrak

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 modeling, which entails choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for fitting nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with too many variables to analyze and not enough observations, and powerful model validation techniques based on the bootstrap. The reader will gain a keen understanding of predictive accuracy, and the harm of categorizing continuous predictors or outcomes. This text realistically deals with model uncertainty, and its effects on inference, to achieve safe data mining. It also presents many graphical methods for communicating complex regression models to non-statisticians.

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 Metadata

No. Panggil : e20510032
Entri utama-Nama orang :
Subjek :
Penerbitan : Switzerland: Springer International Publishing, 2015
Sumber Pengatalogan: LibUI eng rda
Tipe Konten: text
Tipe Media: computer
Tipe Pembawa: online resource
Deskripsi Fisik: xxv, 582 pages : illustration
Tautan: https://link.springer.com/book/10.1007/978-3-319-19425-7
Lembaga Pemilik:
Lokasi:
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No. Panggil No. Barkod Ketersediaan
e20510032 02-20-936961723 TERSEDIA
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