Chargement en cours...
Nonlinear, Multilevel Mixed-Effects Approach for Modeling Longitudinal Standard Automated Perimetry Data in Glaucoma
PURPOSE. Ordinary least squares linear regression (OLSLR) analyses are inappropriate for performing trend analysis on repeatedly measured longitudinal data. This study examines multilevel linear mixed-effects (LME) and nonlinear mixed-effects (NLME) methods to model longitudinally collected perimetr...
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
The Association for Research in Vision and Ophthalmology
2013
|
| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3747790/ https://ncbi.nlm.nih.gov/pubmed/23833069 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/iovs.13-12236 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|