Propensity score matching as an effective strategy for biomarker cohort design and omics data analysis.

Maekawa M, Tanaka A, Ogawa M, Roehrl MH.

Open source

DOI: 10.1371/journal.pone.0302109
Published: 2024-05-02
Container: PLoS One
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0302109,
  title = {Propensity score matching as an effective strategy for biomarker cohort design and omics data analysis.},
  author = {Maekawa M and  Tanaka A and  Ogawa M and  Roehrl MH.},
  year = {2024},
  journal = {PLoS One},
  doi = {10.1371/journal.pone.0302109},
  url = {https://doi.org/10.1371/journal.pone.0302109}
}

RIS

TY  - JOUR
TI  - Propensity score matching as an effective strategy for biomarker cohort design and omics data analysis.
AU  - Maekawa M
AU  -  Tanaka A
AU  -  Ogawa M
AU  -  Roehrl MH.
PY  - 2024
JO  - PLoS One
DO  - 10.1371/journal.pone.0302109
UR  - https://doi.org/10.1371/journal.pone.0302109
ER  -

APA

M, M., A, T., M, O., & MH., R. (2024). Propensity score matching as an effective strategy for biomarker cohort design and omics data analysis.. PLoS One. https://doi.org/10.1371/journal.pone.0302109

Source records

europe-pmc · retrieved 2026-09-26T17:55:20.950Z
doaj · retrieved 2026-09-26T17:55:20.950Z