| dc.creator | Cuesta-Herrera, Ledys | |
| dc.creator | Torres-Mantilla, H | |
| dc.creator | Quintero Vega, Militza | |
| dc.creator | Borges Peña, Rafael | |
| dc.creator | Martínez-Jeraldo, N | |
| dc.date | 2023-08-21T15:54:55Z | |
| dc.date | 2023-08-21T15:54:55Z | |
| dc.date | 2023 | |
| dc.date.accessioned | 2024-05-02T20:31:34Z | |
| dc.date.available | 2024-05-02T20:31:34Z | |
| dc.identifier | http://repositorio.ucm.cl/handle/ucm/4923 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/9275148 | |
| dc.description | Modeling qualitative variables and their interactions often require multidimensional analysis through Log-linear models. Furthermore, these models are useful as alternatives in fields where probabilistic classification is required, such as speech recognition or pattern classification. This work uses log-linear modeling as a methodological approach to the analysis of 1114 valid cases of women participating in a human papillomavirus infection and cervical cancer screening program, thus relating a public health problem to biophysical knowledge. The objective of the study was to evaluate the main effects and interactions between the variables compared to the independence model. A backward stepwise selection with a 5% probability of elimination was performed to arrive at the best hierarchical model starting on the covariates that were significant in a previous bivariate analysis. This allows us to understand how biophysical process modeling can identify biomarkers and propose prevention methods for human papillomavirus infection and Papanicolaou smear abnormalities. | |
| dc.language | en | |
| dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Chile | |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | |
| dc.source | Journal of Physics: Conference Series, 2516, 012008 | |
| dc.title | Log-linear modeling between risk factors and interactions for human papillomaviruses infection and papanicolaou smear abnormalities | |
| dc.type | Article | |
