Zobrazeno 1 - 10
of 29
pro vyhledávání: '"multiplicative random effects"'
Publikováno v:
Journal of Statistical Software, Vol 93, Iss 1, Pp 1-29 (2020)
This paper is devoted to the R package JSM which performs joint statistical modeling of survival and longitudinal data. In biomedical studies it has been increasingly common to collect both baseline and longitudinal covariates along with a possibly c
Externí odkaz:
https://doaj.org/article/f25eb0823afe4d6d861de95ff49d989c
Publikováno v:
Journal of the Royal Statistical Society. Series A (Statistics in Society), 1996 Jan 01. 159(2), 225-234.
Externí odkaz:
https://www.jstor.org/stable/2983170
Autor:
Richard J. Boys, T. Martin Embley, Tom M. W. Nye, Svetlana Cherlin, Tom A. Williams, Sarah E. Heaps
Publikováno v:
Heaps, S E, Nye, T M W, Boys, R J, Williams, T, Cherlin, S & Embley, T M 2019, ' Generalizing rate heterogeneity across sites in statistical phylogenetics ', Statistical Modelling . https://doi.org/10.1177/1471082X18829937
Phylogenetics uses alignments of molecular sequence data to learn about evolutionary trees relating species. Along branches, sequence evolution is modelled using a continuous-time Markov process characterised by an instantaneous rate matrix. Early mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb04f4b28a657ea2f6f4955a02080afa
https://doi.org/10.1177/1471082x19829937
https://doi.org/10.1177/1471082x19829937
Publikováno v:
Journal of Statistical Software, Vol 93, Iss 1, Pp 1-29 (2020)
Journal of Statistical Software; Vol 93 (2020); 1-29
Journal of Statistical Software; Vol 93 (2020); 1-29
This paper is devoted to the R package JSM which performs joint statistical modeling of survival and longitudinal data. In biomedical studies it has been increasingly common to collect both baseline and longitudinal covariates along with a possibly c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3d1674d82e4ecd3b0e72eb2ab16274a
https://www.jstatsoft.org/index.php/jss/article/view/2842
https://www.jstatsoft.org/index.php/jss/article/view/2842
Autor:
Li, Zhaohai
Publikováno v:
Biometrics, 1995 Sep 01. 51(3), 864-873.
Externí odkaz:
https://www.jstor.org/stable/2532988
Akademický článek
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Akademický článek
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Autor:
Razen, Alexander, Lang, Stefan
Distributional structured additive regression provides a flexible framework for modeling each parameter of a potentially complex response distribution in dependence of covariates. Structured additive predictors allow for an additive decomposition of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::32d41d10d18fdaa3f9612986e459411a
https://hdl.handle.net/10419/156184
https://hdl.handle.net/10419/156184
Multiplicative random effects allow for cluster-specific scaling of covariate effects. In many applications with spatial clustering, however, the random effects additionally show some geographical pattern, which usually can not sufficiently be captur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::c06517417711747508aad6e0421da36b
https://hdl.handle.net/10419/156186
https://hdl.handle.net/10419/156186
Models with structured additive predictor provide a very broad and rich framework for complex regression modeling. They can deal simultaneously with nonlinear covariate effects and time trends, unit- or cluster-specific heterogeneity, spatial heterog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed380638a877c98d7877bad26a68e927
https://eeecon.uibk.ac.at/wopec2/repec/inn/wpaper/2012-07.pdf
https://eeecon.uibk.ac.at/wopec2/repec/inn/wpaper/2012-07.pdf