eBooks :: Back

eBooks :: Back

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

Harrell, Frank E., Jr.; (Springer International Publishing, 2015)
URI : http://lontar.ui.ac.id/detail?id=20510032&lokasi=lokal
 Abstract
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.
 Digital Files: 1
Shelf
 Regression Modeling Strategies.pdf ::
 Metadata
Call Number : e20510032
Author :
Subject :
Publishing : Switzerland: Springer International Publishing, 2015
Cataloguing Source : LibUI eng rda
Language : eng
Responsibility Statement : Frank E. Harrell, Jr.
Edition : second edition
Collection Source : Springer
Content Type : text (rdacontent)
Media Type : computer (rdamedia)
Carrier Type : online resource (rdacarrier)
Physical Description : xxv, 582 pages : illustration
Linkhttps://link.springer.com/book/10.1007/978-3-319-19425-7
  • Availability
  • Review
  • Cover
Call Number Barcode Number Availability
e20510032 02-20-936961723 TERSEDIA
Review:
No review available for this collection: 20510032