Statistical modelling in biostatistics and bioinformatics : selected papers

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.