Estimation of a partially linear additive model for data from an outcome-dependent sampling design with a continuous outcome.

ABSTRACT: Outcome-dependent sampling (ODS) designs have been well recognized as a cost-effective way to enhance study efficiency in both statistical literature and biomedical and epidemiologic studies. A partially linear additive model (PLAM) is widely applied in real problems because it allows for a flexible specification of the dependence of the response on some covariates in a linear fashion and other covariates in a nonlinear non-parametric fashion. Motivated by an epidemiological study investigating the effect of prenatal polychlorinated biphenyls exposure on children's intelligence quotient (IQ) at age 7 years, we propose a PLAM in this article to investigate a more flexible non-parametric inference on the relationships among the response and covariates under the ODS scheme. We propose the est

SUBMITTER: Tan Z 

PROVIDER: S-EPMC5031945 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature