Double machine learning analysis identifies heterogeneous patterns in Ethiopian fertility intention:…

Fertility in Ethiopia: factors associated with the number of live births -a survey-adjusted poisson regression analysis of the 2019 ethiopian mini demographic and health survey.
Melese Dereje Mesfin, Amare Yirga Wondu, Dahabo Adi Galgalo +3
Frontiers in reproductive health7 Oct 2026Peer-reviewedCC BYFull textEpidemiology & public healthEurope PMC
The positive correlation between physical exercise and the fertility intention of women of childbearing age: an empirical analysis based on the Chinese General Social Survey
Mengmeng Man, Kehan Zhang, Chenlei Zhao +2
Frontiers in Public Health27 Oct 2026Peer-reviewedCC BY 4.0Full textEpidemiology & public healthCrossref
Work family conflict, marital quality and fertility intention in a sample of employed Iranian women
Soraya Moradi, Zahra Sadat Pajohideh, Somayeh Makvandi +2
Scientific Reports1 Jul 2026Peer-reviewedCC BYFull textGeneral medicineDOAJ
Prevalence and correlates of depressive symptoms among Ethiopian and Ethiopian-Descent adults in the Seattle metropolitan area: A cross-sectional study
Hiwot Weldemariam, Yonathan Dagnew, Meron Girma +2
PLOS Mental Health21 Oct 2026Peer-reviewedCC BYFull textPharmacology & toxicology Psychiatry & mental healthPLOSEurope PMC
Single-cell atlas of the developing mouse oviduct reveals smooth muscle heterogeneity and identifies Vps34 as a critical regulator of female fertility
Yanhua He, Yong Zhang, Yunxia Chen +6
BMC Biology7 Aug 2026Peer-reviewedCC BY 4.0Full textObstetrics, gynaecology & paediatricsPMC

Cite

BibTeX

@article{kim2026double,
  title = {{Double machine learning analysis identifies heterogeneous patterns in Ethiopian fertility intention: cross-sectional study}},
  author = {Yejun Kim and Eun Woo Nam and Haftu Berhe Gebru and Hocheol Lee},
  journal = {BMC Public Health},
  year = {2026},
  month = oct,
  doi = {10.1186/s12889-026-29734-7},
  url = {https://link.springer.com/10.1186/s12889-026-29734-7},
  note = {CC BY-NC-ND 4.0},
}

RIS

TY  - JOUR
TI  - Double machine learning analysis identifies heterogeneous patterns in Ethiopian fertility intention: cross-sectional study
AU  - Yejun Kim
AU  - Eun Woo Nam
AU  - Haftu Berhe Gebru
AU  - Hocheol Lee
PY  - 2026
DA  - 2026/10/02
JO  - BMC Public Health
DO  - 10.1186/s12889-026-29734-7
UR  - https://link.springer.com/10.1186/s12889-026-29734-7
SN  - 1471-2458
ER  -

Related

Cite