Strategic procedure in three stages for the selection of variables to obtain balanced results in public health research

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• dc.contributor.author Lozano Relaño, Manuel
• dc.contributor.author Manyes, Lara
• dc.contributor.author Peiró, Juanjo
• dc.contributor.author Infimi, Adina
• dc.contributor.author Ramada Rodilla, José María, 1961-
• dc.date.accessioned 2022-10-10T06:15:12Z
• dc.date.available 2022-10-10T06:15:12Z
• dc.date.issued 2018
• dc.description.abstract Multidisciplinary research in public health is approached using methods from many scientific disciplines. One of the main characteristics of this type of research is dealing with large data sets. Classic statistical variable selection methods, known as “screen and clean”, and used in a single-step, select the variables with greater explanatory weight in the model. These methods, commonly used in public health research, may induce masking and multicollinearity, excluding relevant variables for the experts in each discipline and skewing the result. Some specific techniques are used to solve this problem, such as penalized regressions and Bayesian statistics, they offer more balanced results among subsets of variables, but with less restrictive selection thresholds. Using a combination of classical methods, a three-step procedure is proposed in this manuscript, capturing the relevant variables of each scientific discipline, minimizing the selection of variables in each of them and obtaining a balanced distribution that explains most of the variability. This procedure was applied on a dataset from a public health research. Comparing the results with the single-step methods, the proposed method shows a greater reduction in the number of variables, as well as a balanced distribution among the scientific disciplines associated with the response variable. We propose an innovative procedure for variable selection and apply it to our dataset. Furthermore, we compare the new method with the classic single-step procedures.
• dc.format.mimetype application/pdf
• dc.identifier.citation Lozano M, Manyes L, Peiró J, Iftimi AA, Ramada JM. Strategic procedure in three stages for the selection of variables to obtain balanced results in public health research. Cadernos de Saúde Pública. 2018;34(7):1-15. DOI: 10.1590/0102-311x00174017
• dc.identifier.doi http://dx.doi.org/10.1590/0102-311x00174017
• dc.identifier.issn 0102-311X
• dc.identifier.uri http://hdl.handle.net/10230/54318
• dc.language.iso eng
• dc.publisher Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz
• dc.relation.ispartof Cadernos de Saúde Pública. 2018;34(7):1-15
• dc.rights This article is published in Open Access under the Creative Commons Attribution license, which allows use, distribution, and reproduction in any medium, without restrictions, as long as the original work is correctly cited.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by/4.0/deed.ca
• dc.subject.keyword Statistics as topic
• dc.subject.keyword Methods
• dc.subject.keyword Interdisciplinary research
• dc.title Strategic procedure in three stages for the selection of variables to obtain balanced results in public health research
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion