Paternal bias: The impact of not accounting for paternal confounders in reproductive epidemiological studies

Am J Obstet Gynecol. 2020 Jan;222(1):87-88. doi: 10.1016/j.ajog.2019.08.005. Epub 2019 Aug 8.

Authors

Andrea Bellavia¹, Susanna D Mitro², Russ Hauser³, Tamarra James-Todd³

Affiliations

¹ Department of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Ave., Bldg. 1, 13th Floor, Boston, MA 02120. Electronic address: abellavi@hsph.harvard.edu.
² Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
³ Department of Epidemiology, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA.

No abstract available

Publication types

Letter
Research Support, N.I.H., Extramural

MeSH terms

Bias
Birth Weight*
Body Mass Index
Computer Simulation
Confounding Factors, Epidemiologic
Fathers / statistics & numerical data*
Female
Humans
Infant, Newborn
Male
Obesity / epidemiology*
Obesity, Maternal / epidemiology*
Pregnancy

Grants and funding