Extended abstracts Fall 2015 : Biomedical Big Data ; Statistics for Low Dose Radiation Research / Elizabeth A. Ainsbury, M. Luz Calle, Elisabeth Cardis, Jochen Einbeck, Guadalupe Gómez, Pere Puig, editors.

This two-part volume gathers extended conference abstracts corresponding to selected talks from the "Biostatnet workshop on Biomedical (Big) Data" and from the "DoReMi LD-RadStats: Workshop for statisticians interested in contributing to EU low dose radiation research", which wer...

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Online Access: Full Text (via Springer)
Other Authors: Ainsbury, Elizabeth A. (Editor), Calle, M. Luz (Editor), Cardis, Elisabeth Marcelle (Editor), Einbeck, Jochen (Editor), Gómez, Guadalupe (Editor), Puig i Casado, Pere (Editor)
Format: eBook
Language:English
Published: Cham, Switzerland : Birkhäuser, 2017.
Series:Trends in mathematics ; v. 7.
Subjects:
Table of Contents:
  • Part I Biomedical Big Data; Extreme Observations in Biomedical Data; 1 Introduction; 2 Methods; 3 Application to Data in Autism Multiplex Families; 4 Application to Gene Expression Data in Cancer; References; An Ordinal Joint Model for Breast Cancer; 1 Introduction; 2 A Bayesian Joint Model for Ordinal Longitudinal and Left Truncated Survival Data; 3 Breast Cancer and Mammographic Breast Density; References; Sample Size Impact on the Categorisation of Continuous Variables in Clinical Prediction; 1 Motivation; 2 Methods.
  • 2.1 Categorisation Proposal Based on GAM with P-Spline Smoothers; 2.2 Optimal Categorisation Based on the Maximisation of the AUC; 3 Simulation Study; 3.1 Scenarios and Set Up; 3.2 Results; 4 Conclusions; References; Integrative Analysis of Transcriptomics and Proteomics Data for the Characterization of Brain Tissue After Ischemic Stroke; 1 Introduction and Objectives; 2 Methods; 3 Results; 4 Conclusions; References; Applying INAR-Hidden Markov Chains in the Analysis of Under-Reported Data; 1 Introduction; 2 The Model; 2.1 Parameter Estimation; 2.2 Reconstruction of the Underlying Process.
  • 2.3 Model Selection and Goodness of Fit; 3 Example of Application; References; Joint Modelling for Flexible Multivariate Longitudinal and Survival Data: Application in Orthotopic Liver Transplantation; 1 Introduction; 2 Orthotopic Liver Transplantation Data; 3 Two-Stage Model Based Proposal; 3.1 Stage 1: Flexible Multivariate Longitudinal Data; 3.2 Stage 2: Survival Model; 4 Conclusions; References; A Multi-state Model for the Progression to Osteopenia and Osteoporosis Among HIV-Infected Patients; 1 Motivation; 2 Multi-state Model; 2.1 Notation; 2.2 Estimation Method; 3 Results.
  • 3.1 Descriptive Analysis; 3.2 Estimated Transition Probabilities; 4 Discussion; References; Statistical Challenges for Human Microbiome Analysis; 1 Introduction; 2 Methods; 3 Results; 4 Conclusions; References; Integrative Analysis to Select Genes Regulated by Methylation in a Cancer Colon Study; 1 Introduction and Objectives; 2 Methods for L-Pattern Selection; 2.1 Gene Selection Based on Conditional Mutual Information; 2.2 Gene Selection Based on Spline Regression; 3 Results and Application: Selecting L-Shaped Genes from a Genome-Wide Analysis of Colorectal Cancer.
  • 3.1 Results Using the Conditional Mutual Information Approach; 3.2 Results Using Splines Regression to Select Genes; 4 Discussion and Conclusions; References; Topological Pathway Enrichment Analysis of Gene Expression in High Grade Serous Ovarian Cancer Reveals Tumor-Stoma Cross-Talk; 1 Introduction; 2 Methods; 3 Results; 4 Discussion; 5 Conclusion; References; Part II Statistics for Low Dose Radiation Research; Biological Dosimetry, Statistical Challenges: Biological Dosimetry After High-Dose Exposures to Ionizing Radiation; References.