Logo - springer
Slogan - springer

Statistics - Statistical Theory and Methods | Statistical Modelling in Biostatistics and Bioinformatics - Selected Papers

Statistical Modelling in Biostatistics and Bioinformatics

Selected Papers

MacKenzie, Gilbert, Peng, Defen (Eds.)

2014, XIV, 244 p. 48 illus., 2 illus. in color.

Available Formats:

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.


(net) price for USA

ISBN 978-3-319-04579-5

digitally watermarked, no DRM

Included Format: PDF and EPUB

download immediately after purchase

learn more about Springer eBooks

add to marked items


Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.


(net) price for USA

ISBN 978-3-319-04578-8

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days

add to marked items

  • 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
​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.

Content Level » Research

Keywords » covariance modelling - hierarchical generalised non linear models - multivariate survival analysis - statistical genetics - statistical modelling

Related subjects » Life Sciences, Medicine & Health - Statistical Theory and Methods - Systems Biology and Bioinformatics

Table of contents 

​Preface.- An Appreciation - John Nelder, FRS.- Introduction.- Survival Modelling: Hougaard - Multivariate Interval-Censored Survival Data: Parametric, Semi-Parametric and Non-Parametric Models; MacKenzie and Ha - Multivariate Survival Models Based on the GTDL; Lynch and MacKenzie - Frailty Models with Structural Dispersion; Martinez and Hinde - Random Effects Ordinal Time Models for Grouped Toxicological Data from a Biological Control Assay.- Longitudinal Modelling & Time Series: Haywood and Randal - Modelling Seasonality and Structural Breaks: Visitors to NZ and 9/11; Allais and Bosco - Forecasting the Insolvency Risk of the Customers of an Automotive Financial Service; Xu and MacKenzie - On Joint Modelling of Constrained Mean and Covariance Structures in Longitudinal Data.- Statistical Model Development: Payne - Hierarchical Generalized Nonlinear Models; Durio and Isaia - Comparing Robust Regression Estimators to Detect Data Clusters: A Case Study; Coffey, Hinde and Garcia - Finite Mixture Model Clustering of SNP Data; Peng and MacKenzie - Discrepancy and Choice of Reference Subclass in Categorical Regression Models.- Applied Statistical Modelling: Ramsey - Statistical Methods for Detecting Selective Sweeps; Brophy, Gibson, Wayne and Connolly - A Mixture Model and Bootstrap Analysis to Assess Reproductive Allocation in Plants; Conde and MacKenzie - On Model Selection Algorithms in Multi-Dimensional Contingency Tables.- Postscript: Durio and MacKenzie - Obituary: Professor Ennio Isaia.

Distribution rights 

Distribution rights for India: Researchco Book Centre, New Delhi, India

Popular Content within this publication 



Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Statistical Theory and Methods.