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Statistical modelling in biostatistics and bioinformatics: selected papers

This book presents selected papers on statistical model development related mainly to the fields of Biostatistics and Bioinformatics. The coverage of the material falls squarely into the following categories: (a) Survival analysis and multivariate survival analysis, (b) Time series and longitudinal...

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Detalles Bibliográficos
Autores principales: MacKenzie, Gilbert, Peng, Defen
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-04579-5
http://cds.cern.ch/record/1707514
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author MacKenzie, Gilbert
Peng, Defen
author_facet MacKenzie, Gilbert
Peng, Defen
author_sort MacKenzie, Gilbert
collection CERN
description This book presents selected papers on statistical model development related mainly to the fields of Biostatistics and Bioinformatics. The coverage of the material falls squarely into the following categories: (a) Survival analysis and multivariate survival analysis, (b) Time series and longitudinal data analysis, (c) Statistical model development and (d) Applied statistical modelling. Innovations in statistical modelling are presented throughout each of the four areas, with some intriguing new ideas on hierarchical generalized non-linear models and on frailty models with structural dispersion, just to mention two examples. The contributors include distinguished international statisticians such as Philip Hougaard, John Hinde, Il Do Ha, Roger Payne and Alessandra Durio, among others, as well as promising newcomers. Some of the contributions have come from researchers working in the BIO-SI research programme on Biostatistics and Bioinformatics, centred on the Universities of Limerick and Galway in Ireland and funded by the Science Foundation Ireland under its Mathematics Initiative.
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spelling cern-17075142021-04-21T20:58:37Zdoi:10.1007/978-3-319-04579-5http://cds.cern.ch/record/1707514engMacKenzie, GilbertPeng, DefenStatistical modelling in biostatistics and bioinformatics: selected papersMathematical Physics and MathematicsThis book presents selected papers on statistical model development related mainly to the fields of Biostatistics and Bioinformatics. The coverage of the material falls squarely into the following categories: (a) Survival analysis and multivariate survival analysis, (b) Time series and longitudinal data analysis, (c) Statistical model development and (d) Applied statistical modelling. Innovations in statistical modelling are presented throughout each of the four areas, with some intriguing new ideas on hierarchical generalized non-linear models and on frailty models with structural dispersion, just to mention two examples. The contributors include distinguished international statisticians such as Philip Hougaard, John Hinde, Il Do Ha, Roger Payne and Alessandra Durio, among others, as well as promising newcomers. Some of the contributions have come from researchers working in the BIO-SI research programme on Biostatistics and Bioinformatics, centred on the Universities of Limerick and Galway in Ireland and funded by the Science Foundation Ireland under its Mathematics Initiative.Springeroai:cds.cern.ch:17075142014
spellingShingle Mathematical Physics and Mathematics
MacKenzie, Gilbert
Peng, Defen
Statistical modelling in biostatistics and bioinformatics: selected papers
title Statistical modelling in biostatistics and bioinformatics: selected papers
title_full Statistical modelling in biostatistics and bioinformatics: selected papers
title_fullStr Statistical modelling in biostatistics and bioinformatics: selected papers
title_full_unstemmed Statistical modelling in biostatistics and bioinformatics: selected papers
title_short Statistical modelling in biostatistics and bioinformatics: selected papers
title_sort statistical modelling in biostatistics and bioinformatics: selected papers
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-04579-5
http://cds.cern.ch/record/1707514
work_keys_str_mv AT mackenziegilbert statisticalmodellinginbiostatisticsandbioinformaticsselectedpapers
AT pengdefen statisticalmodellinginbiostatisticsandbioinformaticsselectedpapers