LiMMCov: An interactive research tool for efficiently selecting covariance structures in linear mixed models using insights from time series analysis.
The correct specification of covariance structures in linear mixed models (LMMs) is critical for accurate longitudinal data analysis. These data, characterised by repeated measurements on subjects over time, demand careful handling of inherent correlations to avoid biased estimates and invalid infer...
| Published in: | PLoS ONE |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Online Access: | https://doi.org/10.1371/journal.pone.0325834 |