Quantitative genetic modeling and inference in the presence of nonignorable missing data.

Abstract excerpt

Natural selection is typically exerted at some specific life stages. If natural selection takes place before a trait can be measured, using conventional models can cause wrong inference about population parameters. When the missing data process relates to the trait of interest, a valid inference requires explicit modeling of the missing process. We propose a joint modeling approach, a shared parameter model, to...

Topics

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

• Share to Genetic Variation
• Share to Genetics, Population