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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

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

Also part of the Research Perspectives CRM Barcelona book sub series (RPCRMB, volume 7)

Table of contents

  1. Front Matter
    Pages i-vii
  2. Biomedical Big Data

    1. Front Matter
      Pages 1-2
    2. Concepción Arenas, Itziar Irigoien, Francesc Mestres, Claudio Toma, Bru Cormand
      Pages 3-8
    3. Carmen Armero, Carles Forné, Montserrat Rué, Anabel Forte, Hector Perpiñán, Guadalupe Gómez et al.
      Pages 9-13
    4. Irantzu Barrio, Inmaculada Arostegui, María-Xosé Rodríguez-Álvarez
      Pages 15-20
    5. Ferran Briansó, Teresa García-Berrocoso, Joan Montaner, Alex Sánchez-Pla
      Pages 21-27
    6. Amanda Fernández-Fontelo, Alejandra Cabaña, Pedro Puig, David Moriña
      Pages 29-34
    7. Klaus Langohr, Nuria Pérez-Álvarez, Eugenia Negredo, Anna Bonjoch, Montserrat Rué, Ronald Geskus et al.
      Pages 41-45
    8. Javier Rivera-Pinto, Carla Estany, Roger Paredes, M.Luz Calle, Marc Noguera-Julián, the MetaHIV-Pheno Study Group
      Pages 47-51
    9. Alex Sánchez-Pla, M. Carme Ruíz de Villa, Francesc Carmona, Sarah Bazzoco, Diego Arango del Corro
      Pages 53-57
    10. 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. Fieke Dekkers, Arjan Maud-Briels, Teun van van-Dijk, Astrid Dillen, Kloosterman
      Pages 83-87
    3. Jochen Einbeck, Elizabeth Ainsbury, Stephen Barnard, Maria Oliveira, Grainne Manning, Pere Puig et al.
      Pages 89-94
    4. Krzysztof W. Fornalski, Ludwik Dobrzyński, Joanna Reszczyńska
      Pages 95-101
    5. Manuel Higueras, Elizabeth A. Ainsbury
      Pages 103-107
    6. Adetayo Kasim, Nolen Joy Perualila, Ziv Shkedy
      Pages 109-113
    7. Célestin C. Kokonendji, Nabil Zougab, Tristan Senga-Kiessé
      Pages 115-120
  4. Fieke Dekkers, Astrid Kloosterman, Teun van Dillen, Maud Briels, Arjan van Dijk
    Pages E1-E1

About these proceedings

Introduction

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 significant challenges 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.

Keywords

HIV research high dimensional data integrative omics penalized regression survival analysis time series Bayesian methods Ionising radiation low dose epidemiology radiation biology genetics inverse regression

Editors and affiliations

  • Elizabeth A. Ainsbury
    • 1
  • M.Luz Calle
    • 2
  • Elisabeth Cardis
    • 3
  • Jochen Einbeck
    • 4
  • Guadalupe Gómez
    • 5
  • Pere Puig
    • 6
  1. 1.Chemical and Environmental HazardsPublic Health EnglandChiltonUnited Kingdom
  2. 2.Departament de BiociènciesUniversitat Central de CatalunyaVicSpain
  3. 3.Campus MarISGlobalBarcelonaSpain
  4. 4.Mathematical SciencesDurham UniversityDurhamUnited Kingdom
  5. 5.Estadística i Investigació OperativaUniversitat Politècnica de CatalunyaBarcelonaSpain
  6. 6.Departament de MatemàtiquesUniversitat Autònoma de BarcelonaBarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-55639-0
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Birkhäuser, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-55638-3
  • Online ISBN 978-3-319-55639-0
  • Series Print ISSN 2297-0215
  • Series Online ISSN 2297-024X
  • Buy this book on publisher's site