A New Approach to Handle Missing Covariate Data in Twin Research: With an Application to Educational Achievement Data

The often-used ACE model which decomposes phenotypic variance into additive genetic (A), common-environmental (C) and unique-environmental (E) parts can be extended to include covariates. Collection of these variables however often leads to a large amount of missing data, for example when self-repor...

Descripción completa

Detalles Bibliográficos
Autores principales: Schwabe, Inga, Boomsma, Dorret I., Zeeuw, Eveline L. de, Berg, Stéphanie M. van den
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2015
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4886155/
https://www.ncbi.nlm.nih.gov/pubmed/26687147
http://dx.doi.org/10.1007/s10519-015-9771-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4886155/
https://www.ncbi.nlm.nih.gov/pubmed/26687147
http://dx.doi.org/10.1007/s10519-015-9771-1

Ejemplares similares