Cargando…
Latent class analysis of behavior across dog breeds reveal underlying temperament profiles
Latent class analysis (LCA) is a type of modeling analysis approach that has been used to identify unobserved groups or subgroups within multivariate categorical data. LCA has been used for a wide array of psychological evaluations in humans, including the identification of depression subtypes or PT...
Autores principales: | Zapata, Isain, Eyre, Alexander W., Alvarez, Carlos E., Serpell, James A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482611/ https://www.ncbi.nlm.nih.gov/pubmed/36115919 http://dx.doi.org/10.1038/s41598-022-20053-6 |
Ejemplares similares
-
Genome scanning of behavioral selection in a canine olfactory detection breeding cohort
por: Eyre, Alexander W., et al.
Publicado: (2022) -
Genetic testing of dogs predicts problem behaviors in clinical and nonclinical samples
por: Zapata, Isain, et al.
Publicado: (2022) -
Psychological Stress Is Associated with Increased Cancer Risk in Dogs
por: Zapata, Isain, et al.
Publicado: (2023) -
Machine learning prediction and classification of behavioral selection in a canine olfactory detection program
por: Eyre, Alexander W., et al.
Publicado: (2023) -
Modulation of dog–owner relationship and dog social and cognitive behavior by owner temperament and dog breed group
por: Kujala, Miiamaaria V., et al.
Publicado: (2023)