The hidden factor: accounting for covariate effects in power and sample size computation for a binary trait

MOTIVATION: Accurate power and sample size estimation is crucial to the design and analysis of genetic association studies. When analyzing a binary trait via logistic regression, important covariates such as age and sex are typically included in the model. However, their effects are rarely properly...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Ziang, Sun, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070038/
https://www.ncbi.nlm.nih.gov/pubmed/36943372
http://dx.doi.org/10.1093/bioinformatics/btad139

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070038/
https://www.ncbi.nlm.nih.gov/pubmed/36943372
http://dx.doi.org/10.1093/bioinformatics/btad139

Ejemplares similares