Statistical Modelling of Survival Data With Random Effects: H-likelihood Approach - Couverture rigide

Livre 60 sur 69: Statistics for Biology and Health

Ha, Il Do; Jeong, Jong-Hyeon; Lee, Youngjo

 
9789811065552: Statistical Modelling of Survival Data With Random Effects: H-likelihood Approach
Couverture rigide
ISBN 10 : 9811065551 ISBN 13 : 9789811065552
Editeur : Springer Verlag, Singapore, 2018

Synopsis

Provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood

Includes R package, "frailtyHL" in CRAN, to fit various frailty models

Reviews state-of-the-art statistical methods in likelihood theory and application


Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

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 statistics. Dr. Ha received his Ph.D. degree in statistics from Seoul National University. He has served as an Associate Editor of Computational Statistics until 2008-2012 and has been a fellow of the Royal Statistical Society (RSS) since 2006. Jong-Hyeon Jeong is a full professor in the Department of Biostatistics at University of Pittsburgh in USA. His research interests are in survival analysis, including competing risks, quantile residual life, empirical likelihood, h-likelihood, frailty model and clinical trials. He has published his first book with Springer: Jeong, J.-H. (2014) Statistical Inference on Residual Life, New York: Springer. Dr. Jeong received his Ph.D. degree in statistics from University of Rochester. He has been a fellow of the American Statistical Association (ASA) since 2017 as well as an elected member of the international Statistical Institute (ISI) since 2007. Dr. Jeong is also serving on the editorial board for the journal "Lifetime Data Analysis". Youngjo Lee is a full professor in the Department of Statistics at Seoul National University in South Korea and also an adjunct professor of Karolinska Institutet in Sweden. His research interests are extension, application, theory and software development for hierarchical GLM (HGLM) and multivariate survival models using h-likelihood. He has published a HGLM book with Chapman and Hall: Lee, Y., Nelder, J. A. and Pawitan, Y. (2017) Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood, 2nd edition, Boca Raton: Chapman and Hall. Dr. Lee received his Ph.D. degree in statistics from Iowa State University. He has been a fellow of the Royal Statistical Society (RSS) since 1996 as well as the American Statistical Association (ASA) since 2013.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer Verlag, Singapore
Date d'édition
2018
Langue
anglais
ISBN 10 
9811065551
ISBN 13 
9789811065552
Reliure
Relié
Numéro d'édition
1
Nombre de pages
297
Coordonnées du fabricant
non disponible
Personne responsable
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Autres éditions populaires du même titre

9789811349010: Statistical Modelling of Survival Data with Random Effects: H-Likelihood Approach

Edition présentée

ISBN 10 :  9811349010 ISBN 13 :  9789811349010
Editeur : Springer, 2018
Couverture souple