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  • Conference proceedings
  • © 2017

Extended Abstracts Fall 2015

Biomedical Big Data; Statistics for Low Dose Radiation Research

Birkhäuser

Part of the book series: Trends in Mathematics (TM, volume 7)

Part of the book sub series: Research Perspectives CRM Barcelona (RPCRMB)

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Table of contents (22 papers)

  1. Front Matter

    Pages i-vii
  2. Biomedical Big Data

    1. Front Matter

      Pages 1-2
    2. Extreme Observations in Biomedical Data

      • Concepción Arenas, Itziar Irigoien, Francesc Mestres, Claudio Toma, Bru Cormand
      Pages 3-8
    3. An Ordinal Joint Model for Breast Cancer

      • Carmen Armero, Carles Forné, Montserrat Rué, Anabel Forte, Hector Perpiñán, Guadalupe Gómez et al.
      Pages 9-13
    4. Sample Size Impact on the Categorisation of Continuous Variables in Clinical Prediction

      • Irantzu Barrio, Inmaculada Arostegui, María-Xosé Rodríguez-Álvarez
      Pages 15-20
    5. Integrative Analysis of Transcriptomics and Proteomics Data for the Characterization of Brain Tissue After Ischemic Stroke

      • Ferran Briansó, Teresa García-Berrocoso, Joan Montaner, Alex Sánchez-Pla
      Pages 21-27
    6. Applying INAR-Hidden Markov Chains in the Analysis of Under-Reported Data

      • Amanda Fernández-Fontelo, Alejandra Cabaña, Pedro Puig, David Moriña
      Pages 29-34
    7. A Multi-state Model for the Progression to Osteopenia and Osteoporosis Among HIV-Infected Patients

      • Klaus Langohr, Nuria Pérez-Álvarez, Eugenia Negredo, Anna Bonjoch, Montserrat Rué, Ronald Geskus et al.
      Pages 41-45
    8. Statistical Challenges for Human Microbiome Analysis

      • Javier Rivera-Pinto, Carla Estany, Roger Paredes, M.Luz Calle, Marc Noguera-Julián, the MetaHIV-Pheno Study Group
      Pages 47-51
    9. Integrative Analysis to Select Genes Regulated by Methylation in a Cancer Colon Study

      • Alex Sánchez-Pla, M. Carme Ruíz de Villa, Francesc Carmona, Sarah Bazzoco, Diego Arango del Corro
      Pages 53-57
    10. Topological Pathway Enrichment Analysis of Gene Expression in High Grade Serous Ovarian Cancer Reveals Tumor-Stoma Cross-Talk

      • Oana A. Zeleznik, Gerhard G. Thallinger, John Platig, Aedín C. Culhane
      Pages 59-63
  3. Statistics for Low Dose Radiation Research

    1. Front Matter

      Pages 65-66
    2. Understanding Plaque Overlap Is Essential for Modelling Radiation Induced Atherosclerosis

      • Fieke Dekkers, Arjan Maud-Briels, Teun van van-Dijk, Astrid Dillen, Kloosterman
      Pages 83-87
    3. On the Use of Random Effect Models for Radiation Biodosimetry

      • Jochen Einbeck, Elizabeth Ainsbury, Stephen Barnard, Maria Oliveira, Grainne Manning, Pere Puig et al.
      Pages 89-94
    4. Modelling of the Radiation Carcinogenesis: The Analytic and Stochastic Approaches

      • Krzysztof W. Fornalski, Ludwik Dobrzyński, Joanna Reszczyńska
      Pages 95-101
    5. Bayesian Solutions to Biodosimetry Count Data Problems and Supporting Software

      • Manuel Higueras, Elizabeth A. Ainsbury
      Pages 103-107

About this book

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 were held at the Centre de Recerca Matemàtica (CRM) in Barcelona from November 26th to 27th, 2015, and at the Institut de Salut Global ISGlobal (former CREAL) from October 26th to 28th, 2015, respectively. Most of the contributions are brief articles, presenting preliminary new results not yet published in regular research journals.

The first part is devoted to the challenges of analyzing so called "Biomedical Big Data", tremendous amounts of biomedical and health data that are generated every day due to the use of recent technological advances such as massive genomic sequencing, electronic health records or high-resolution medical imaging, among others. The analysis of this information poses significantchallenges for researchers in the fields of biostatistics, bioinformatics, and signal processing. Furthermore, other relevant challenges in biostatistical research, not necessarily involving big data, are also discussed.

In turn, the second part is dedicated to low dose radiation research, where there is a need to fully understand and characterize potential sources of uncertainty before they can be reduced. Further, the book demonstrates why formal uncertainty analysis has the potential to provide a common platform for multidisciplinary research in this field.

This book is intended for established researchers, as well as for PhD and postdoctoral students who want to learn more about the latest advances in these highly active areas of research.

Editors and Affiliations

  • Chemical and Environmental Hazards, Public Health England, Chilton, United Kingdom

    Elizabeth A. Ainsbury

  • Departament de Biociències, Universitat Central de Catalunya, Vic, Spain

    M.Luz Calle

  • Campus Mar, ISGlobal, Barcelona, Spain

    Elisabeth Cardis

  • Mathematical Sciences, Durham University, Durham, United Kingdom

    Jochen Einbeck

  • Estadística i Investigació Operativa, Universitat Politècnica de Catalunya, Barcelona, Spain

    Guadalupe Gómez

  • Departament de Matemàtiques, Universitat Autònoma de Barcelona, Barcelona, Spain

    Pere Puig

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access