A multivariate Bayesian learning approach for improved detection of doping in athletes using urinary steroid profiles.

Eleftheriou D, Piper T, Thevis M, Neocleous T

DOI: 10.1515/ijb-2024-0019
Published: 2025 May 1
Container: The international journal of biostatistics
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1515/ijb-2024-0019,
  title = {A multivariate Bayesian learning approach for improved detection of doping in athletes using urinary steroid profiles.},
  author = {Eleftheriou D and Piper T and Thevis M and Neocleous T},
  year = {2025},
  journal = {The international journal of biostatistics},
  doi = {10.1515/ijb-2024-0019},
  url = {https://doi.org/10.1515/ijb-2024-0019}
}

RIS

TY  - JOUR
TI  - A multivariate Bayesian learning approach for improved detection of doping in athletes using urinary steroid profiles.
AU  - Eleftheriou D
AU  - Piper T
AU  - Thevis M
AU  - Neocleous T
PY  - 2025
JO  - The international journal of biostatistics
DO  - 10.1515/ijb-2024-0019
UR  - https://doi.org/10.1515/ijb-2024-0019
ER  -

APA

D, E., T, P., M, T., & T, N. (2025). A multivariate Bayesian learning approach for improved detection of doping in athletes using urinary steroid profiles.. The international journal of biostatistics. https://doi.org/10.1515/ijb-2024-0019

Source records

pubmed · retrieved 2026-09-26T06:26:09.709Z