Cargando…
Accessible analysis of longitudinal data with linear mixed effects models
Longitudinal studies are commonly used to examine possible causal factors associated with human health and disease. However, the statistical models, such as two-way ANOVA, often applied in these studies do not appropriately model the experimental design, resulting in biased and imprecise results. He...
Autores principales: | Murphy, Jessica I., Weaver, Nicholas E., Hendricks, Audrey E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Company of Biologists Ltd
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092652/ https://www.ncbi.nlm.nih.gov/pubmed/35521689 http://dx.doi.org/10.1242/dmm.048025 |
Ejemplares similares
-
Accessing NCBI data using the NCBI Sequence Viewer and Genome Data Viewer (GDV)
por: Rangwala, Sanjida H., et al.
Publicado: (2021) -
Longitudinal data analysis: autoregressive linear mixed effects models
por: Funatogawa, Ikuko, et al.
Publicado: (2018) -
Linear mixed models for longitudinal data /
por: Verbeke, Geert
Publicado: (2000) -
Linear mixed models for longitudinal data
por: Molenberghs, Geert, et al.
Publicado: (2000) -
Linear mixed models for longitudinal data
por: Verbeke, Geert, et al.
Publicado: (2000)