Isbn: 9781441929334 - bayesian survival analysis (springer series in statistics) (12 resultados)

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  • Idioma: Inglés

    Editorial: Springer, 2010

    1441929339 / 9781441929334

    Serie: Libro 55 de 160 - Springer Series in Statistics

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    Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

  • Idioma: Inglés

    Editorial: Springer, 2010

    1441929339 / 9781441929334

    Serie: Libro 55 de 160 - Springer Series in Statistics

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    Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections

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    Idioma: Inglés

    Editorial: Springer, 2010

    1441929339 / 9781441929334

    Serie: Libro 55 de 160 - Springer Series in Statistics

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    Taschenbuch. Condición: Neu. Bayesian Survival Analysis | Joseph G. Ibrahim (u. a.) | Taschenbuch | Springer Series in Statistics | xiv | Englisch | 2010 | Springer | EAN 9781441929334 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Idioma: Inglés

    Editorial: Springer, 2010

    1441929339 / 9781441929334

    Serie: Libro 55 de 160 - Springer Series in Statistics

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    Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle

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    EUR 280,42

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    Cantidad disponible: 4 disponibles

    Condición: New. pp. 498.

  • Idioma: Inglés

    Editorial: Springer, 2010

    1441929339 / 9781441929334

    Serie: Libro 55 de 160 - Springer Series in Statistics

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    Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books

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    Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Idioma: Inglés

    Editorial: Springer, 2010

    1441929339 / 9781441929334

    Serie: Libro 55 de 160 - Springer Series in Statistics

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis.Several topics are addressed, including parametric models, semiparametric models based on prior processes, proportional and non-proportional hazards models, frailty models, cure rate models, model selection and comparison, joint models for longitudinal and survival data, models with time varying covariates, missing covariate data, design and monitoring of clinical trials, accelerated failure time models, models for mulitivariate survival data, and special types of hierarchial survival models. Also various censoring schemes are examined including right and interval censored data. Several additional topics are discussed, including noninformative and informative prior specificiations, computing posterior qualities of interest, Bayesian hypothesis testing, variable selection, model selection with nonnested models, model checking techniques using Bayesian diagnostic methods, and Markov chain Monte Carlo (MCMC) algorithms for sampling from the posteiror and predictive distributions.The book presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all essentially from the health sciences, including cancer, AIDS, and the environment. The book is intended as a graduate textbook or a reference book for a one semester course at the advanced masters or Ph.D. level. This book would be most suitable for second or third year graduate students in statistics or biostatistics. It would also serve as a useful reference book for applied or theoretical researchers as well as practitioners.

  • Idioma: Inglés

    Editorial: Springer, 2010

    1441929339 / 9781441929334

    Serie: Libro 55 de 160 - Springer Series in Statistics

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    Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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    EUR 166,29

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    Condición: new. Questo è un articolo print on demand.

  • Idioma: Inglés

    Editorial: Springer New York, 2010

    1441929339 / 9781441929334

    Serie: Libro 55 de 160 - Springer Series in Statistics

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    EUR 180,07

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    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book on survival analysis from a Bayesian viewpointBalanced presentation of theory and apllicationsApplications taken from the health sciences, including AIDS, cancer, and design and monitoring of randomized clinical trialsSurvival analysi.

  • Idioma: Inglés

    Editorial: Springer New York Dez 2010, 2010

    1441929339 / 9781441929334

    Serie: Libro 55 de 160 - Springer Series in Statistics

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis.Several topics are addressed, including parametric models, semiparametric models based on prior processes, proportional and non-proportional hazards models, frailty models, cure rate models, model selection and comparison, joint models for longitudinal and survival data, models with time varying covariates, missing covariate data, design and monitoring of clinical trials, accelerated failure time models, models for mulitivariate survival data, and special types of hierarchial survival models. Also various censoring schemes are examined including right and interval censored data. Several additional topics are discussed, including noninformative and informative prior specificiations, computing posterior qualities of interest, Bayesian hypothesis testing, variable selection, model selection with nonnested models, model checking techniques using Bayesian diagnostic methods, and Markov chain Monte Carlo (MCMC) algorithms for sampling from the posteiror and predictive distributions.The book presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all essentially from the health sciences, including cancer, AIDS, and the environment. The book is intended as a graduate textbook or a reference book for a one semester course at the advanced masters or Ph.D. level. This book would be most suitable for second or third year graduate students in statistics or biostatistics. It would also serve as a useful reference book for applied or theoretical researchers as well as practitioners. 496 pp. Englisch.

  • Idioma: Inglés

    Editorial: Springer, Springer Dez 2010, 2010

    1441929339 / 9781441929334

    Serie: Libro 55 de 160 - Springer Series in Statistics

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    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis.Several topics are addressed, including parametric models, semiparametric models based on prior processes, proportional and non-proportional hazards models, frailty models, cure rate models, model selection and comparison, joint models for longitudinal and survival data, models with time varying covariates, missing covariate data, design and monitoring of clinical trials, accelerated failure time models, models for mulitivariate survival data, and special types of hierarchial survival models. Also various censoring schemes are examined including right and interval censored data. Several additional topics are discussed, including noninformative and informative prior specificiations, computing posterior qualities of interest, Bayesian hypothesis testing, variable selection, model selection with nonnested models, model checking techniques using Bayesian diagnostic methods, and Markov chain Monte Carlo (MCMC) algorithms for sampling from the posteiror and predictive distributions.The book presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all essentially from the health sciences, including cancer, AIDS, and the environment. The book is intended as a graduate textbook or a reference book for a one semester course at the advanced masters or Ph.D. level. This book would be most suitable for second or third year graduate students in statistics or biostatistics. It would also serve as a useful reference book for applied or theoretical researchers as well as practitioners.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 496 pp. Englisch.

  • Idioma: Inglés

    Editorial: Springer, 2010

    1441929339 / 9781441929334

    Serie: Libro 55 de 160 - Springer Series in Statistics

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    EUR 292,27

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    Condición: New. Print on Demand pp. 498 51 Illus.

  • Idioma: Inglés

    Editorial: Springer, 2010

    1441929339 / 9781441929334

    Serie: Libro 55 de 160 - Springer Series in Statistics

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    EUR 297,66

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    Condición: New. PRINT ON DEMAND pp. 498.