A weighted kernel machine regression approach to environmental pollutants and infertility.

ABSTRACT: In epidemiological studies of environmental pollutants in relation to human infertility, it is common that concentrations of a large number of exposures are collected in both male and female partners. Such a couple-based study poses some new challenges in statistical analysis, especially when the effect of the totality of these chemical mixtures is of interest, because these exposures may have complex nonlinear and nonadditive relationships with the infertility outcome. Kernel machine regression, as a nonparametric regression method, can be applied to model such effects, while accounting for the highly correlated structure within and across exposures. However, it does not consider the partner-specific structure in these study data, which may lead to suboptimal estimation for the effects of

SUBMITTER: Zhang W 

PROVIDER: S-EPMC12635955 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature