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Log-linear modeling between risk factors and interactions for human papillomaviruses infection and papanicolaou smear abnormalities
dc.contributor.author | Cuesta-Herrera, Ledys | |
dc.contributor.author | Torres-Mantilla, H | |
dc.contributor.author | Quintero Vega, Militza | |
dc.contributor.author | Borges Peña, Rafael | |
dc.contributor.author | Martínez-Jeraldo, N | |
dc.date.accessioned | 2023-08-21T15:54:55Z | |
dc.date.available | 2023-08-21T15:54:55Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | http://repositorio.ucm.cl/handle/ucm/4923 | |
dc.description.abstract | 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. | es_CL |
dc.language.iso | en | es_CL |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Chile | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | * |
dc.source | Journal of Physics: Conference Series, 2516, 012008 | es_CL |
dc.title | Log-linear modeling between risk factors and interactions for human papillomaviruses infection and papanicolaou smear abnormalities | es_CL |
dc.type | Article | es_CL |
dc.ucm.indexacion | Scopus | es_CL |
dc.ucm.uri | iopscience.iop.org/article/10.1088/1742-6596/2516/1/012008 | es_CL |
dc.ucm.doi | doi.org/10.1088/1742-6596/2516/1/012008 | es_CL |
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