A Bayesian nonparametric approach to dynamic item‐response modeling: An application to the GUSTO cohort study

Statistical analysis of questionnaire data is often performed employing techniques from item‐response theory. In this framework, it is possible to differentiate respondent profiles and characterize the questions (items) included in the questionnaire via interpretable parameters. These models are oft...

Descripción completa

Detalles Bibliográficos
Autores principales: Cremaschi, Andrea, De Iorio, Maria, Seng Chong, Yap, Broekman, Birit, Meaney, Michael J., Kee, Michelle Z. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546363/
https://www.ncbi.nlm.nih.gov/pubmed/34412151
http://dx.doi.org/10.1002/sim.9167

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546363/
https://www.ncbi.nlm.nih.gov/pubmed/34412151
http://dx.doi.org/10.1002/sim.9167

Ejemplares similares