Improving rare event prediction in imbalanced clinical data using cost-sensitive logistic regression.

Zhu J, Pu S, Fang C, Wang Y, Bi J, Wu L, Yao Z, Liu H

Open source

DOI
10.1186/s12874-026-02970-6
Published
2026 Aug 10
Container
BMC medical research methodology
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1186/s12874-026-02970-6,
  title = {Improving rare event prediction in imbalanced clinical data using cost-sensitive logistic regression.},
  author = {Zhu J and Pu S and Fang C and Wang Y and Bi J and Wu L and Yao Z and Liu H},
  year = {2026},
  journal = {BMC medical research methodology},
  doi = {10.1186/s12874-026-02970-6},
  url = {https://doi.org/10.1186/s12874-026-02970-6}
}

RIS

TY  - JOUR
TI  - Improving rare event prediction in imbalanced clinical data using cost-sensitive logistic regression.
AU  - Zhu J
AU  - Pu S
AU  - Fang C
AU  - Wang Y
AU  - Bi J
AU  - Wu L
AU  - Yao Z
AU  - Liu H
PY  - 2026
JO  - BMC medical research methodology
DO  - 10.1186/s12874-026-02970-6
UR  - https://doi.org/10.1186/s12874-026-02970-6
ER  - 

APA

J, Z., S, P., C, F., Y, W., J, B., L, W., Z, Y., & H, L. (2026). Improving rare event prediction in imbalanced clinical data using cost-sensitive logistic regression.. BMC medical research methodology. https://doi.org/10.1186/s12874-026-02970-6

Source records