Statistical Modelling in Biostatistics and Bioinformatics: Selected Papers 2014th Edition
Author(s): Gilbert MacKenzie (Editor), Defen Peng
Publisher: Springer
Publication Date: May 20, 2014
Edition: 2014th
Language: English
Print length: 258 pages
ISBN-10: 3319045784
ISBN-13: 9783319045788
Book 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 andGalway in Ireland and funded by the Science Foundation Ireland under its Mathematics Initiative.
Editorial Reviews
Review
From the book reviews:
“The book under review consists of four parts covering survival analysis (Chapters 1–4), longitudinal modeling and time series (Chapters 5–7), statistical model development (Chapters 8–11) and applied statistical modeling (Chapters 12–14). … the variety of topics make it a must-have for a computational biology/bioinformatics lab.” (Irina Ioana Mohorianu, zbMATH, Vol. 1295, 2014)
From the Back Cover
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 andGalway in Ireland and funded by the Science Foundation Ireland under its Mathematics Initiative.
About the Author
Professor Gilbert MacKenzie has a research background in Epidemiology, Biostatistics and Mathematical Statistics. His current research interests include multivariate survival modelling, frailty modelling and covariance modelling. He has published a wide range of research papers and reports and is a past President of the Irish Statistical Association. He holds an adjunct Professorship in Statistics in the University of Limerick and was a visiting Professor in Statistics at ENSAI, France, from 2010 to 2011.
Professor Defen Peng was a visiting Professor in Statistics and senior Research Fellow in the BIO-SI research programme at Limerick from 2009 to 2010. Professor Peng originally worked in the field of Economics at Zhongnan University of Economics and Law, PRC. She has published widely and is currently pursuing several areas of Statistics, such as: survival analysis with frailty, bivariate survival analysis, and the stability of regression models with categoricalcovariates.
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