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Language: English
Published by Springer-Verlag New York Inc., 2012
ISBN 10: 1461426278 ISBN 13: 9781461426271
Seller: Revaluation Books, Exeter, United Kingdom
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Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367140020 ISBN 13: 9780367140021
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Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367140020 ISBN 13: 9780367140021
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Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367140020 ISBN 13: 9780367140021
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Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Regression with Linear Predictors | Per Kragh Andersen (u. a.) | Taschenbuch | Statistics for Biology and Health | ix | Englisch | 2012 | Springer | EAN 9781461426271 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367140020 ISBN 13: 9780367140021
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Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367140020 ISBN 13: 9780367140021
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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'.
Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 0367140020 ISBN 13: 9780367140021
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Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 0367140020 ISBN 13: 9780367140021
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Condition: New. 1st edition NO-PA16APR2015-KAP.