PART I -- Foreword -- Extreme Observations in Biomedical Data -- An Ordinal Joint Model for Breast Cancer -- Sample Size Impact on the Categorisation of Continuous Variables in Clinical Prediction -- ntegrative Analysis of Transcriptomics and Proteomics Data for the Characterization of Brain Tissue After Ischemic Stroke -- Applying INAR-Hidden Markov Chains in the Analysis of Under-Reported Data -- Joint Modelling for Flexible Multivariate Longitudinal and Survival Data: Application in Orthotopic Liver Transplantation -- A Multi-State Model for the Progression to Osteopenia and Osteoporosis among HIV-Infected Patients -- Statistical Challenges for Human Microbiome Analysis -- Integrative Analysis to Select Genes Regulated by Methylation in a Cancer Colon Study -- Topological Pathway Enrichment Analysis of Gene Expression in High Grade Serous Ovarian Cancer Reveals Tumor-Stoma Cross-Talk -- PART II -- Foreword -- Biological Dosimetry, Statistical Challenges: Biological Dosimetry after High-Dose Exposures to Ionizing Radiation -- Heterogeneous Correlation of Multi-Level Omics Data for the Consideration of Inter-Tumoural Heterogeneity -- Overview of Topics Related to Model Selection for Regression -- Understanding Plaque Overlap is Essential for Modelling Radiation Induced Atherosclerosis -- On the Use of Random Effect Models for Radiation Biodosimetry -- Modelling of the Radiation Carcinogenesis: the Analytic and Stochastic Approaches -- Bayesian Solutions to Biodosimetry Count Data Problems and Supporting Software -- Empirical Assessment of Gene Expression Biomarkers for Radiation Exposure -- Poisson-Weighted Estimation by Discrete Kernel with Application to Radiation Biodosimetry -- R Implementation of the Excess Relative Rate Model: Applications to Radiation Epidemiology -- Uncertainty Considerations Following a Mechanistic Analysis of Lung Cancer Mortality.