Heterogeneous wealth-related differences in modern contraceptive use in Bangladesh: a machine learning-based g-computation analysis of the DHS 2022 cross-sectional survey
- DOI
- 10.1186/s41043-026-01371-1
- Published
- 2026-07-08
- Container
- Journal of Health, Population and Nutrition
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s41043-026-01371-1,
title = {Heterogeneous wealth-related differences in modern contraceptive use in Bangladesh: a machine learning-based g-computation analysis of the DHS 2022 cross-sectional survey},
author = {Sudarshan Saha and Sohel Rana},
year = {2026},
journal = {Journal of Health, Population and Nutrition},
doi = {10.1186/s41043-026-01371-1},
url = {https://doi.org/10.1186/s41043-026-01371-1}
}RIS
TY - JOUR TI - Heterogeneous wealth-related differences in modern contraceptive use in Bangladesh: a machine learning-based g-computation analysis of the DHS 2022 cross-sectional survey AU - Sudarshan Saha AU - Sohel Rana PY - 2026 JO - Journal of Health, Population and Nutrition DO - 10.1186/s41043-026-01371-1 UR - https://doi.org/10.1186/s41043-026-01371-1 ER -
APA
Saha, S., & Rana, S. (2026). Heterogeneous wealth-related differences in modern contraceptive use in Bangladesh: a machine learning-based g-computation analysis of the DHS 2022 cross-sectional survey. Journal of Health, Population and Nutrition. https://doi.org/10.1186/s41043-026-01371-1
Source records
- crossref · retrieved 2026-09-26T06:10:43.587Z