Genetic association studies with bivariate mixed responses subject to measurement error and misclassification.

Abstract excerpt

In genetic association studies, mixed effects models have been widely used in detecting the pleiotropy effects which occur when one gene affects multiple phenotype traits. In particular, bivariate mixed effects models are useful for describing the association of a gene with a continuous trait and a binary trait. However, such models are inadequate to feature the data with response mismeasurement, a characteristic...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Bias
• Share to Computer Simulation
• Share to Genetic Association Studies