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HERO ID
3392386
Reference Type
Journal Article
Subtype
Supplemental Data
Title
Dose-response modeling with summary data from developmental toxicity studies : Supplementary materials
Author(s)
Fox, JR; Hogan, KA; Davis, A
Year
2016
Is Peer Reviewed?
1
Journal
Risk Analysis
ISSN:
0272-4332
EISSN:
1539-6924
Language
English
Relationship(s)
is a supplement to
3392311
Dose-response modeling with summary data from developmental toxicity studies
Abstract
Dose-response analysis of binary developmental data (e.g., implant loss, fetal abnormalities) is best done using individual fetus data (identified to litter) or litter-specific statistics such as number of offspring per litter and proportion abnormal. However, such data are not often available to risk assessors. Scientific articles usually present only dose-group summaries for the number or average proportion abnormal and the total number of fetuses. Without litter-specific data, it is not possible to estimate variances correctly (often characterized as a problem of overdispersion, intralitter correlation, or “litter effect”). However, it is possible to use group summary data when the design effect has been estimated for each dose group. Previous studies have demonstrated useful dose-response and trend test analyses based on design effect estimates using litter-specific data from the same study. This simplifies the analysis but does not help when litter-specific data are unavailable. In the present study, we show that summary data on fetal malformations can be adjusted satisfactorily using estimates of the design effect based on historical data. When adjusted data are then analyzed with models designed for binomial responses, the resulting benchmark doses are similar to those obtained from analyzing litter-level data with nested dichotomous models.
Keywords
Benchmark dose; design effect; developmental; dose response; fetal; intralitter correlation; overdispersion
Tag
IRIS
•
Benzo(a)pyrene (BaP)
Identified During External Peer Review
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