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

ABSTRACT:

Background

When analyzing fetal defect incidence in laboratory animal studies, correlation in responses within litters (i.e., litter effects) can lead to increased false-positive rates if litter effects are not incorporated into the analysis. Studies of fetal defects require analysis methods that are robust across a broad range of defect types, including those with zero or near-zero incidence rates in control groups.

Methods

A simulation study compared power and false-positive rates for six approaches across a range of background defect rates and litter size distributions. Statistical methods evaluated included ignoring the litter effect as well as parametric and nonparametric approaches based on litter proportions, generalized linear mixed models (GLMMs), the Rao-Scott Coch

SUBMITTER: Harris SF 

PROVIDER: S-EPMC9898081 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature