"Building on the Handbook of Regression Analysis and Regression Analysis by Example, the authors' thorough treatments of "classic" regression analysis, this book covers two important and more advanced topics of time-to-event survival data and longitudinal and clustered data. Furt...

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Bibliographic Details

Main Authors:	Chatterjee, Samprit 1938- (Author), Simonoff, Jeffrey S. 1955- (Author)
Format:	Book
Language:	English
Published:	Hoboken, NJ Wiley 2020
Edition:	Second edition
Series:	Wiley series in probability and statistics
Subjects:	R > Programm Regressionsanalyse Regression analysis / Handbooks, manuals, etc R (Computer program language) Regression analysis Handbooks and manuals
Summary:	"Building on the Handbook of Regression Analysis and Regression Analysis by Example, the authors' thorough treatments of "classic" regression analysis, this book covers two important and more advanced topics of time-to-event survival data and longitudinal and clustered data. Further, methods that have become prominent in the last 15-30 years that are designed for analyses on often-large data sets and can take advantage of exibility in modeling were not covered, including smoothing, tree- based, and regularization methods, all of which are increasingly becoming part of the data analysis toolkit. Examples are drawn from a wide variety of application areas using real data sets and all of the R code is provided. The book will be of interest to data scientists as well as in regression analysis courses at the graduate and undergraduate level. Regression analysis is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables. More specifically, regression analysis helps one understand how the typical value of the dependent variable changes when any one of the independent variables is varied, while the other independent variables are held fixed. Most commonly, regression analysis estimates the conditional expectation of the dependent variable given the independent variables -- that is, the average value of the dependent variable when the independent variables are fixed. Regression analysis is widely used for prediction and forecasting, where its use has substantial overlap with the field of machine learning"--
Item Description:	Aus dem Vorwort zur zweiten Auflage, S. xvii: "A final small change from the first edition to the second edition is the title, as it now includes the phrase 'with applications in R'."
Physical Description:	xxii, 349 Seiten Illustrationen, Diagramme 24 cm
ISBN:	9781119392378 1119392373