Work

Measuring non-events: infertility estimation using cross-sectional, population-based data from four countries in sub-Saharan Africa

Year: 2024

Type: article

Abstract: 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].

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13965824

Authors: Bell, Suzanne O., Moreau, Caroline, Sarnak, Dana, Kibira, Simon P. S., Anglewicz, Philip, Gichangi, Peter, McLain, Alexander C., Thoma, Marie E.

Language: English

Topic: Reproductive Health and Technologies

Subfield: Reproductive Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W6911858114

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