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Condizione: New. pp. 140 1st ed. 2016 edition NO-PA16APR2015-KAP.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 140 pages. 9.00x6.00x0.50 inches. In Stock.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book will be of interest to readers active in the fields of survival analysis, genetics, ecology, biology, demography, reliability and quality control.Since Sir David Cox's pioneering work in 1972, the proportional hazards model has become the most important model in survival analysis. The success of the Cox model stimulated further studies in semiparametric and nonparametric theories, counting process models, study designs in epidemiology, and the development of many other regression models that could offer more flexible or more suitable approaches in data analysis.Flexible semiparametric regression models are increasingly being used to relate lifetime distributions to time-dependent explanatory variables. Throughout the book, various recent statistical models are developed in close connection with specific data from experimental studies in clinical trials or from observational studies.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. The Cox Model and Its Applications | Mikhail Nikulin (u. a.) | Taschenbuch | SpringerBriefs in Statistics | xiii | Englisch | 2016 | Springer | EAN 9783662493311 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Lingua: Inglese
Editore: Springer Berlin Heidelberg Apr 2016, 2016
ISBN 10: 3662493314 ISBN 13: 9783662493311
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book will be of interest to readers active in the fields of survival analysis, genetics, ecology, biology, demography, reliability and quality control.Since Sir David Cox's pioneering work in 1972, the proportional hazards model has become the most important model in survival analysis. The success of the Cox model stimulated further studies in semiparametric and nonparametric theories, counting process models, study designs in epidemiology, and the development of many other regression models that could offer more flexible or more suitable approaches in data analysis.Flexible semiparametric regression models are increasingly being used to relate lifetime distributions to time-dependent explanatory variables. Throughout the book, various recent statistical models are developed in close connection with specific data from experimental studies in clinical trials or from observational studies. 140 pp. Englisch.
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 140.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2016
ISBN 10: 3662493314 ISBN 13: 9783662493311
Da: moluna, Greven, Germania
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers a short-course or one-semester material for students, biostatisticians, and for scientific researchers who demand applications of survival analysis Illustrated with real life examples.
Lingua: Inglese
Editore: Springer, Springer Gabler Apr 2016, 2016
ISBN 10: 3662493314 ISBN 13: 9783662493311
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book will be of interest to readers active in the fields of survival analysis, genetics, ecology, biology, demography, reliability and quality control.Since Sir David Cox¿s pioneering work in 1972, the proportional hazards model has become the most important model in survival analysis. The success of the Cox model stimulated further studies in semiparametric and nonparametric theories, counting process models, study designs in epidemiology, and the development of many other regression models that could offer more flexible or more suitable approaches in data analysis.Flexible semiparametric regression models are increasingly being used to relate lifetime distributions to time-dependent explanatory variables. Throughout the book, various recent statistical models are developed in close connection with specific data from experimental studies in clinical trials or from observational studies.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 140 pp. Englisch.