Cargando…
Fitting parametric random effects models in very large data sets with application to VHA national data
BACKGROUND: With the current focus on personalized medicine, patient/subject level inference is often of key interest in translational research. As a result, random effects models (REM) are becoming popular for patient level inference. However, for very large data sets that are characterized by larg...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2012
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3542162/ https://www.ncbi.nlm.nih.gov/pubmed/23095325 http://dx.doi.org/10.1186/1471-2288-12-163 |