Using simulations to explore the conditions under which "true" dose-response relationships are detectable for environmental exposures: polychlorinated biphenyls (PCBs) and birthweight: a case study

Siegel, E. L., Lamb, M., Goldsmith, J., Rundle, A., Neophytou, A., Berkovitch, M., Cohn, B., & Factor-Litvak, P. (2025). Using simulations to explore the conditions under which “true” dose-response relationships are detectable for environmental exposures: polychlorinated biphenyls (PCBs) and birthweight: a case study. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwaf020
Authors:
Eva Laura Siegel
Matt Lamb
Jeff Goldsmith
Andrew Rundle
Andreas Neophytou
Matitiahu Berkovitch
Barbara Cohn
Pam Factor-Litvak
Affiliated Authors:
Eva Laura Siegel
Matt Lamb
Jeff Goldsmith
Andrew Rundle
Pam Factor-Litvak
Columbia Affiliation:
Author Keywords:
endocrine disrupters
environmental
exposure distributions
meta- analysis
elink
Publication Type:
Article
Unique ID:
10.1093/aje/kwaf020
PMID:
40036367
DOI:
10.1093/aje/kwaf020
Journal:
American Journal of Epidemiology
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record

Record Created: