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

In: Proceedings of COMPSTAT'2010

Author

Listed:
  • Lutz Edler

    (German Cancer Research Center, Department of Biostatistics-C060)

  • Christina Wunder

    (German Cancer Research Center, Department of Biostatistics-C060)

  • Wiebke Werft

    (German Cancer Research Center, Department of Biostatistics-C060)

  • Axel Benner

    (German Cancer Research Center, Department of Biostatistics-C060)

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).

Suggested Citation

  • Lutz Edler & Christina Wunder & Wiebke Werft & Axel Benner, 2010. "Computational Statistics Solutions for Molecular Biomedical Research: A Challenge and Chance for Both," Springer Books, in: Yves Lechevallier & Gilbert Saporta (ed.), Proceedings of COMPSTAT'2010, pages 19-32, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-2604-3_2
    DOI: 10.1007/978-3-7908-2604-3_2
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