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Computational Statistics Solutions for Molecular Biomedical Research: A Challenge and Chance for Both

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Proceedings of COMPSTAT'2010

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Abstract

Computational statistics, supported by computing power and availability of efficient methodology, techniques and algorithms on the statistical side and by the perception on the need of valid data analysis and data interpretation on the biomedical side, has invaded in a very short time many cutting edge research areas of molecular biomedicine. Two salient cutting edge biomedical research questions demonstrate the increasing role and decisive impact of computational statistics. The role of well designed and well communicated simulation studies is emphasized and computational statistics is put into the framework of the International Association of Statistical Computing (IASC) and special issues on Computational Statistics within Clinical Research launched by the journal Computational Statistics and Data Analysis (CSDA).

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Author information

Authors and Affiliations

  1. Department of Biostatistics-C060, German Cancer Research Center, Im Neuenheimer Feld 280, D-69120, Heidelberg, Germany

    Lutz Edler, Christina Wunder, Wiebke Werft & Axel Benner

Authors
  1. Lutz Edler
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  2. Christina Wunder
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  3. Wiebke Werft
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  4. Axel Benner
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Corresponding author

Correspondence to Lutz Edler .

Editor information

Editors and Affiliations

  1. Centre de Recherche INRIA Paris-Rocquenc, Domaine de Voluceau, Le Chesnay cedex, 78153, France

    Yves Lechevallier

  2. , chaire de statistique appliquée, CNAM, rue Saint Martin 292, Paris, 75003, France

    Gilbert Saporta

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Edler, L., Wunder, C., Werft, W., Benner, A. (2010). Computational Statistics Solutions for Molecular Biomedical Research: A Challenge and Chance for Both. In: Lechevallier, Y., Saporta, G. (eds) Proceedings of COMPSTAT'2010. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2604-3_2

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