Contraceptive ever-use among women of reproductive age in Northern Ghana: a comparative analysis of logistic regression, LASSO penalised regression, and random forest machine learning approaches
- DOI
- 10.3389/fgwh.2026.1857008
- Published
- 2026-09-09
- Container
- Frontiers in Global Women's Health
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fgwh.2026.1857008,
title = {Contraceptive ever-use among women of reproductive age in Northern Ghana: a comparative analysis of logistic regression, LASSO penalised regression, and random forest machine learning approaches},
author = {Joseph Lasong and Mavis Kala and Torjim Salifu and Yula Salifu},
year = {2026},
journal = {Frontiers in Global Women's Health},
doi = {10.3389/fgwh.2026.1857008},
url = {https://doi.org/10.3389/fgwh.2026.1857008}
}RIS
TY - JOUR TI - Contraceptive ever-use among women of reproductive age in Northern Ghana: a comparative analysis of logistic regression, LASSO penalised regression, and random forest machine learning approaches AU - Joseph Lasong AU - Mavis Kala AU - Torjim Salifu AU - Yula Salifu PY - 2026 JO - Frontiers in Global Women's Health DO - 10.3389/fgwh.2026.1857008 UR - https://doi.org/10.3389/fgwh.2026.1857008 ER -
APA
Lasong, J., Kala, M., Salifu, T., & Salifu, Y. (2026). Contraceptive ever-use among women of reproductive age in Northern Ghana: a comparative analysis of logistic regression, LASSO penalised regression, and random forest machine learning approaches. Frontiers in Global Women's Health. https://doi.org/10.3389/fgwh.2026.1857008
Source records
- crossref · retrieved 2026-09-25T16:23:21.506Z