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Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Statistical Modelling of Survival Data with Random Effects | H-Likelihood Approach | Il Do Ha (u. a.) | Taschenbuch | Statistics for Biology and Health | xiv | Englisch | 2018 | Springer | EAN 9789811349010 | 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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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to address the computational difficulties in inferences and extensions. The approach presented in the book overcomes shortcomings in the traditional likelihood-based methods for clustered survival data such as intractable integration. The text includes technical materials such as derivations and proofs in each chapter, as well as recently developed software programs in R ('frailtyHL'), while the real-world data examples together with an R package, 'frailtyHL' in CRAN, provide readers with useful hands-on tools. Reviewing new developments since the introduction of the h-likelihood to survival analysis (methods for interval estimation of the individual frailty and for variable selection of the fixed effects in the general class of frailty models) and guiding future directions, the book is of interest to researchers in medical and genetics fields, graduate students, and PhD (bio) statisticians.
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to address the computational difficulties in inferences and extensions. The approach presented in the book overcomes shortcomings in the traditional likelihood-based methods for clustered survival data such as intractable integration. The text includes technical materials such as derivations and proofs in each chapter, as well as recently developed software programs in R ('frailtyHL'), while the real-world data examples together with an R package, 'frailtyHL' in CRAN, provide readers with useful hands-on tools. Reviewing new developments since the introduction of the h-likelihood to survival analysis (methods for interval estimation of the individual frailty and for variable selection of the fixed effects in the general class of frailty models) and guiding future directions, the book is of interest to researchers in medical and genetics fields, graduate students, and PhD (bio) statisticians.
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Idioma: Inglés
Publicado por Springer Nature Singapore Dez 2018, 2018
ISBN 10: 9811349010 ISBN 13: 9789811349010
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 160,49
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to address the computational difficulties in inferences and extensions. The approach presented in the book overcomes shortcomings in the traditional likelihood-based methods for clustered survival data such as intractable integration. The text includes technical materials such as derivations and proofs in each chapter, as well as recently developed software programs in R ('frailtyHL'), while the real-world data examples together with an R package, 'frailtyHL' in CRAN, provide readers with useful hands-on tools. Reviewing new developments since the introduction of the h-likelihood to survival analysis (methods for interval estimation of the individual frailty and for variable selection of the fixed effects in the general class of frailty models) and guiding future directions, the book is of interest to researchers in medical and genetics fields, graduate students, and PhD (bio) statisticians. 300 pp. Englisch.
Idioma: Inglés
Publicado por Springer Nature Singapore Jan 2018, 2018
ISBN 10: 9811065551 ISBN 13: 9789811065552
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to address the computational difficulties in inferences and extensions. The approach presented in the book overcomes shortcomings in the traditional likelihood-based methods for clustered survival data such as intractable integration. The text includes technical materials such as derivations and proofs in each chapter, as well as recently developed software programs in R ('frailtyHL'), while the real-world data examples together with an R package, 'frailtyHL' in CRAN, provide readers with useful hands-on tools. Reviewing new developments since the introduction of the h-likelihood to survival analysis (methods for interval estimation of the individual frailty and for variable selection of the fixed effects in the general class of frailty models) and guiding future directions, the book is of interest to researchers in medical and genetics fields, graduate students, and PhD (bio) statisticians. 300 pp. Englisch.
Librería: moluna, Greven, Alemania
EUR 136,16
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Il Do Ha is a full professor in the Department of Statistics at Pukyong National University in South Korea. His research interests are multivariate survival analysis using h-likelihood, inferences on random-effect models, clinical trials and financial stati.
Librería: moluna, Greven, Alemania
EUR 136,16
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Il Do Ha is a full professor in the Department of Statistics at Pukyong National University in South Korea. His research interests are multivariate survival analysis using h-likelihood, inferences on random-effect models, clinical trials and financial stati.
Librería: preigu, Osnabrück, Alemania
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Añadir al carritoBuch. Condición: Neu. Statistical Modelling of Survival Data with Random Effects | H-Likelihood Approach | Il Do Ha (u. a.) | Buch | Statistics for Biology and Health | xiv | Englisch | 2018 | Springer | EAN 9789811065552 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Librería: Majestic Books, Hounslow, Reino Unido
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Añadir al carritoCondición: New. Print on Demand.
Librería: Majestic Books, Hounslow, Reino Unido
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Añadir al carritoCondición: New. Print on Demand pp. 300.
Idioma: Inglés
Publicado por Springer, Springer Dez 2018, 2018
ISBN 10: 9811349010 ISBN 13: 9789811349010
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 160,49
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihoodIncludes R package, 'frailtyHL' in CRAN, to fit various frailty modelsReviews state-of-the-art statistical methods in likelihood theory and applicationSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 300 pp. Englisch.
Idioma: Inglés
Publicado por Springer, Springer Jan 2018, 2018
ISBN 10: 9811065551 ISBN 13: 9789811065552
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 160,49
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihoodIncludes R package, 'frailtyHL' in CRAN, to fit various frailty modelsReviews state-of-the-art statistical methods in likelihood theory and applicationSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 300 pp. Englisch.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 220,77
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 300.