Cargando…
Understanding the drivers of sensitive behavior using Poisson regression from quantitative randomized response technique data
Understanding sensitive behaviors—those that are socially unacceptable or non-compliant with rules or regulations—is essential for creating effective interventions. Sensitive behaviors are challenging to study, because participants are unlikely to disclose sensitive behaviors for fear of retribution...
Autores principales: | Cao, Meng, Breidt, F. Jay, Solomon, Jennifer N., Conteh, Abu, Gavin, Michael C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6161884/ https://www.ncbi.nlm.nih.gov/pubmed/30265700 http://dx.doi.org/10.1371/journal.pone.0204433 |
Ejemplares similares
-
Poisson Mixture Regression Models for Heart Disease Prediction
por: Mufudza, Chipo, et al.
Publicado: (2016) -
Sparse Poisson regression via mixed-integer optimization
por: Saishu, Hiroki, et al.
Publicado: (2021) -
Adjusting for Berkson error in exposure in ordinary and conditional logistic regression and in Poisson regression
por: Oraby, Tamer, et al.
Publicado: (2023) -
Spatial analysis of G.f.fuscipes abundance in Uganda using Poisson and Zero-Inflated Poisson regression models
por: Mugenyi, Albert, et al.
Publicado: (2021) -
A Poisson regression model for association mapping of count phenotypes
por: Ghosh, Saurabh, et al.
Publicado: (2014)