Advanced search
1 file | 217.95 KB

Statistical discrimination of steroid profiles: introduction of steroidomics in doping analysis

Author
Organization

Downloads

  • pp 63-72.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 217.95 KB

Citation

Please use this url to cite or link to this publication:

Chicago
Van Renterghem, Pieter, Pierre-Edouard Sottas, Martial Saugy, Frans Delbeke, and Peter Van Eenoo. 2011. “Statistical Discrimination of Steroid Profiles: Introduction of Steroidomics in Doping Analysis.” In Recent Advances in Doping Analysis, 19:63–72. Cologne, Germany: Sportverlag Strauss.
APA
Van Renterghem, P., Sottas, P.-E., Saugy, M., Delbeke, F., & Van Eenoo, P. (2011). Statistical discrimination of steroid profiles: introduction of steroidomics in doping analysis. Recent Advances in Doping Analysis (Vol. 19, pp. 63–72). Presented at the 29th Cologne workshop on Dope Analysis (Manfred Donike workshop), Cologne, Germany: Sportverlag Strauss.
Vancouver
1.
Van Renterghem P, Sottas P-E, Saugy M, Delbeke F, Van Eenoo P. Statistical discrimination of steroid profiles: introduction of steroidomics in doping analysis. Recent Advances in Doping Analysis. Cologne, Germany: Sportverlag Strauss; 2011. p. 63–72.
MLA
Van Renterghem, Pieter, Pierre-Edouard Sottas, Martial Saugy, et al. “Statistical Discrimination of Steroid Profiles: Introduction of Steroidomics in Doping Analysis.” Recent Advances in Doping Analysis. Vol. 19. Cologne, Germany: Sportverlag Strauss, 2011. 63–72. Print.
@inproceedings{4094690,
  author       = {Van Renterghem, Pieter and Sottas, Pierre-Edouard and Saugy, Martial and Delbeke, Frans and Van Eenoo, Peter},
  booktitle    = {Recent Advances in Doping Analysis},
  isbn         = {9783868840377},
  language     = {eng},
  location     = {Cologne, Germany},
  pages        = {63--72},
  publisher    = {Sportverlag Strauss},
  title        = {Statistical discrimination of steroid profiles: introduction of steroidomics in doping analysis},
  volume       = {19},
  year         = {2011},
}