Measuring non-events: infertility estimation using cross-sectional, population-based data from four countries in sub-Saharan Africa
This is the accepted manuscript version of the work published in its final form as Bell s O, Moreau, C, Sarnak, D, Kibira, S. P. S, Anglewicz, P, Gichangi, P, Mclain, A. C, & Thoma, M. (2024). Measuring non-events: Infertility estimation using cross-sectional, population-based data from four countries in sub-saharan africa. Human Reproduction, 39(12), 2848-2860. https://doi.org/10.1093/humrep/deae218. Deposited by shareyourpaper.org and openaccessbutton.org. We've taken reasonable steps to ensure this content doesn't violate copyright. However, if you think it does you can request a takedown by emailing [email protected].
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-09-30
- DOI
- https://doi.org/10.5281/zenodo.13965825
- Primary Topic
- Signaling Pathways in Disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00