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Statistical Modelling in Biostatistics and Bioinformatics - Selected Papers (Hardcover, 2014 ed.): Gilbert Mackenzie, Defen Peng Statistical Modelling in Biostatistics and Bioinformatics - Selected Papers (Hardcover, 2014 ed.)
Gilbert Mackenzie, Defen Peng
R2,808 R1,907 Discovery Miles 19 070 Save R901 (32%) Ships in 10 - 15 working days

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.

Statistical Modelling in Biostatistics and Bioinformatics - Selected Papers (Paperback, Softcover reprint of the original 1st... Statistical Modelling in Biostatistics and Bioinformatics - Selected Papers (Paperback, Softcover reprint of the original 1st ed. 2014)
Gilbert Mackenzie, Defen Peng
R2,047 Discovery Miles 20 470 Ships in 18 - 22 working days

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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