Overview
- Presents new implications for statistical analyses of frailty survival models with structural dispersion
- Features new methods of model-based clustering in Bioinformatics as well as of detecting genetic sweeps in population genetics
- Provides new insights into non-proportional hazards survival models and the use of H-likelihood methods
- Presents results on the new class of HGLMs - hierarchical generalized non-linear models
Part of the book series: Contributions to Statistics (CONTRIB.STAT.)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents(15 chapters)
-
Survival Modelling
About this book
Reviews
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)Editors and Affiliations
-
Centre of Biostatistics, University of Limerick, Limerick, Ireland
Gilbert MacKenzie, Defen Peng
About the editors
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.
Bibliographic Information
Book Title: Statistical Modelling in Biostatistics and Bioinformatics
Book Subtitle: Selected Papers
Editors: Gilbert MacKenzie, Defen Peng
Series Title: Contributions to Statistics
DOI: https://doi.org/10.1007/978-3-319-04579-5
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-04578-8Published: 20 May 2014
Softcover ISBN: 978-3-319-35764-5Published: 23 August 2016
eBook ISBN: 978-3-319-04579-5Published: 08 May 2014
Series ISSN: 1431-1968
Series E-ISSN: 2628-8966
Edition Number: 1
Number of Pages: XIV, 244
Number of Illustrations: 46 b/w illustrations, 2 illustrations in colour
Topics: Statistical Theory and Methods, Statistics for Life Sciences, Medicine, Health Sciences, Biostatistics, Bioinformatics