Regression with Linear Predictors

Language: English

Published by Springer, Copernicus Sep 2012, 2012

1461426278 / 9781461426271

Series: Book 39 of 69 - Statistics for Biology and Health

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This item is printed on demand - Print on Demand Titel. Neuware -This is a book about regression analysis, that is, the situation in statistics where the distribution of a response (or outcome) variable is related to - planatory variables (or covariates). This is an extremely common situation in the application of statistical methods in many elds, andlinear regression,- gistic regression, and Cox proportional hazards regression are frequently used for quantitative, binary, and survival time outcome variables, respectively. Several books on these topics have appeared and for that reason one may well ask why we embark on writing still another book on regression. We have two main reasons for doing this: 1. First, we want to highlightsimilaritiesamonglinear,logistic,proportional hazards,andotherregressionmodelsthatincludealinearpredictor. These modelsareoftentreatedentirelyseparatelyintextsinspiteofthefactthat alloperationsonthemodelsdealingwiththelinearpredictorareprecisely the same, including handling of categorical and quantitative covariates, testing for linearity and studying interactions. 2. Second, we want to emphasize that, for any type of outcome variable, multiple regression models are composed of simple building blocks that areaddedtogetherinthelinearpredictor:thatis,t-tests,one-wayanalyses of variance and simple linear regressions for quantitative outcomes, 2×2, 2×(k+1) tables and simple logistic regressions for binary outcomes, and 2-and (k+1)-sample logrank testsand simple Cox regressionsfor survival data. Thishastwoconsequences. Allthesesimpleandwellknownmethods can be considered as special cases of the regression models. On the other hand, the e ect of a single explanatory variable in a multiple regression model can be interpreted in a way similar to that obtained in the simple analysis, however, now valid only forthe other explanatory variables in the model ¿held xed¿.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 508 pp. Englisch. …

Seller Inventory # 9781461426271

Title
Regression with Linear Predictors
Author
Per Kragh Andersen
Publisher
Springer, Copernicus Sep 2012
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1461426278
ISBN 13
9781461426271
Item weight
762 grams
Dimensions
235x155x28 mm
Series
Book 39 of 69: Statistics for Biology and Health

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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