Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach
Huang and colleagues used machine-learning estimators to analyse a broad range of parameters in a prospective cohort consisting ART and spontaneously conceived children. Small differences in stature and growth could not be explained by parental or perinatal environment factors, nor differences in fe...
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Bibliographic Details
| Main Authors: |
Jonathan Yinhao Huang,
Shirong Cai,
Zhongwei Huang,
Mya Thway Tint,
Wen Lun Yuan,
Izzuddin M. Aris,
Keith M. Godfrey,
Neerja Karnani,
Yung Seng Lee,
Jerry Kok Yen Chan,
Yap Seng Chong,
Johan Gunnar Eriksson,
Shiao-Yng Chan |
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| Format: | Article
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| Language: | English |
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| Published: |
Nature Portfolio
2021-09-01
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| Series: | Nature Communications
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| Online Access: | https://doi.org/10.1038/s41467-021-25899-4
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