Articles liés à Bayesian Survival Analysis
Synopsis
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 survivial analysis and serves as a useful reference book for applied or theoretical researchers as well as practitioners.
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Bayesian Survival Analysis (Springer Series in Statistics)
Edité par
Springer, 2001
ISBN 10 : 0387952772
ISBN 13 : 9780387952772
Ancien ou d'occasion
Couverture rigide
Vendeur : Best Value for You, Thousand Oaks, CA, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : Very Good. Book is in Very Good condition, Shelf Wear Only, all orders shipped DAILY- priority or standard MAIL via USPS.Free Tracking Included with all orders. N° de réf. du vendeur 014484
Acheter D'occasion
EUR 45,96
Expédition à EUR 5,35
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 1 disponible(s)
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Bayesian Survival Analysis
Edité par
Springer-Verlag New York Inc., 2001
ISBN 10 : 0387952772
ISBN 13 : 9780387952772
Ancien ou d'occasion
Couverture rigide
Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardback. Etat : Good. 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 multivariate survival data, and special types of hierarchical 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. Joseph G. Ibrahim is Associate Professor of Biostatistics at the Harvard School of Public Health and Dana-Farber Cancer Institute; Ming-Hui Chen is Associate Professor of Mathematical Science at Worcester Polytechnic Institute; Debajyoti Sinha is Associate Professor of Biostatistics at the Medical University of South Carolina. N° de réf. du vendeur 00105672573
Acheter D'occasion
EUR 62,07
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Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
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Bayesian Survival Analysis (Springer Series in Statistics)
Edité par
Springer, 2001
ISBN 10 : 0387952772
ISBN 13 : 9780387952772
Ancien ou d'occasion
Couverture rigide
Vendeur : -OnTimeBooks-, Phoenix, AZ, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail. N° de réf. du vendeur OTV.0387952772.VG
Acheter D'occasion
EUR 64,77
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Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
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Image d'archives
Bayesian Survival Analysis
Edité par
Springer-Verlag New York Inc., 2001
ISBN 10 : 0387952772
ISBN 13 : 9780387952772
Ancien ou d'occasion
Couverture rigide
Vendeur : World of Books Inc, Montgomery, IL, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Hardback. Etat : Good. 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 multivariate survival data, and special types of hierarchical 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. Joseph G. Ibrahim is Associate Professor of Biostatistics at the Harvard School of Public Health and Dana-Farber Cancer Institute; Ming-Hui Chen is Associate Professor of Mathematical Science at Worcester Polytechnic Institute; Debajyoti Sinha is Associate Professor of Biostatistics at the Medical University of South Carolina. N° de réf. du vendeur CIN0387952772G
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EUR 65,17
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Expédition nationale : Etats-Unis
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Bayesian Survival Analysis
Edité par
Springer New York, 2001
ISBN 10 : 0387952772
ISBN 13 : 9780387952772
Ancien ou d'occasion
Couverture rigide
Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. N° de réf. du vendeur 13170538-6
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EUR 68,28
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Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
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Bayesian Survival Analysis (Springer Series in Statistics)
Edité par
Springer, 2001
ISBN 10 : 0387952772
ISBN 13 : 9780387952772
Ancien ou d'occasion
Couverture rigide
Vendeur : Studibuch, Stuttgart, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
hardcover. Etat : Sehr gut. 495 Seiten; 9780387952772.2 Gewicht in Gramm: 4. N° de réf. du vendeur 1128462
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Bayesian Survival Analysis (Springer Series in Statistics)
Vendeur : BennettBooksLtd, Los Angeles, CA, Etats-Unis
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hardcover. Etat : New. In shrink wrap. Looks like an interesting title! N° de réf. du vendeur Q-0387952772
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Bayesian Survival Analysis (Springer Series in Statistics)
Vendeur : GoldBooks, Denver, CO, Etats-Unis
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Hardcover. Etat : new. New Copy. Customer Service Guaranteed. N° de réf. du vendeur 79L96_35_0387952772
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Bayesian Survival Analysis
Edité par
Springer New York, 2001
ISBN 10 : 0387952772
ISBN 13 : 9780387952772
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Gebunden. Etat : 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. N° de réf. du vendeur 5912437
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EUR 180,07
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Expédition depuis Allemagne vers Etats-Unis
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Bayesian Survival Analysis
Edité par
Springer New York Jun 2001, 2001
ISBN 10 : 0387952772
ISBN 13 : 9780387952772
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : 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. 500 pp. Englisch. N° de réf. du vendeur 9780387952772
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EUR 213,99
Expédition à EUR 23
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Expédition depuis Allemagne vers Etats-Unis
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