Andersen kragh (26 Ergebnisse)

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Hardcover. Hardcover. gr. 8°. XI, 494 pages. with 171 figures. good condition in englischer Sprache (in english).

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Buch. Zustand: 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'.…

Taschenbuch. Zustand: 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. …

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hardcover. Zustand: Sehr gut. 550 Seiten; 9780470058060.2 Gewicht in Gramm: 3.

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Zustand: New. A unique and invaluable reference resource for those working in survival analysis. Survival analysis is concerned with studying the time between entry to a study and a subsequent event. Editor(s): Keiding, Niels; Andersen, Per Kragh. Series: Wiley Reference Series in Biostatistics. Num Pages: 550 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 252 x 198 x 37. Weight in Grams: 1370. . 2006. Hardcover. . . . .…

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Gebunden. Zustand: New. Niels Keiding and Per Andersen were Section Editors in Survival Analysis for both editions of the Encyclopedia of Biostatistics. They are extremely well known in their field and have written extensively, both books and research papers.They are based at the .

Zustand: New. A unique and invaluable reference resource for those working in survival analysis. Survival analysis is concerned with studying the time between entry to a study and a subsequent event. Editor(s): Keiding, Niels; Andersen, Per Kragh. Series: Wiley Reference Series in Biostatistics. Num Pages: 550 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 252 x 198 x 37. Weight in Grams: 1370. . 2006. Hardcover. . . . . Books ship from the US and Ireland.…

Buch. Zustand: Neu. Neuware - A unique and invaluable reference resource for those working in survival analysis.Survival analysis is concerned with studying the time between entry to a study and a subsequent event. Originally the analysis was concerned with time from treatment until death, hence the name, but survival analysis is applicable to many areas in addition to mortality, such as recidivism or the efficacy of drugs. The techniques can also be used in engineering and quality control (e.g. how long is a particular component likely to last ).Arranged in an A-Z format, Survival and Event History Analysis edited by Niels Keiding and Per Kragh Andersen contains 96 articles written by over 60 distinguished authors. The articles are taken from the Encyclopedia of Biostatistics, 2nd Edition.This book gives the reader a thorough grounding in the subject area and the extensive references at the end of each article provide a comprehensive source of information for further information in more depth.…

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