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Analysis of incidence data in developmental toxicity studies: Statistical tests to account for litter effects in fetal defect data.

Shawn F HarrisSandra J McBrideMarjolein V SmithHelen C CunnyKeith R Shockley
Published in: Birth defects research (2022)
The mRSCA test developed here compares favorably with other litter-based approaches and is robust across a range of background defect rates and litter size distributions, making it a practical choice for prenatal developmental toxicology studies involving both common and rare fetal defects.
Keyphrases
  • electronic health record
  • case control
  • big data
  • pregnant women
  • risk factors
  • oxidative stress
  • machine learning
  • data analysis
  • monte carlo