Application of the multiple imputations method in the morphometric study of theropod teeth

Autores
Meso, Jorge G.; Baiano, Mattia Antonio; Archuby, Fernando Miguel; Canale, Juan Ignacio; Salgado, Leonardo
Año de publicación
2018
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión aceptada
Descripción
Fil: Meso, Jorge G. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro, Argentina.
Fil: Meso, Jorge G. Consejo Nacional de Investigaciones Científicas y Técnicas. Buenos Aires, Argentina.
Fil: Baiano, Mattia Antonio. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro, Argentina.
Fil: Baiano, Mattia Antonio. Museo “Carmen Funes”. Nuequén, Argentina.
Fil: Archuby, Fernando. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro, Argentina.
Fil: Archuby, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Buenos Aires, Argentina.
Fil: Canale, Juan Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Buenos Aires, Argentina.
Fil: Canale, Juan Ignacio. Museo Paleontológico “Ernesto Bachmann”. Neuquén, Argentina.
Fil: Salgado, Leonardo. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro, Argentina.
Fil: Salgado, Leonardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Buenos Aires, Argentina.
number of qualitative and quantitative parameters began to be established and systematized, with the aim of achieving a more precise classification of isolated theropod teeth. Due to exposure of these materials to taphonomic processes, the missing data arerelatively common in the study of these elements. Such loss of information can lead to a drastic reduction of the original dataset, and therefore to biased conclusions. Currently, few statistical programs are available that allow the direct use of incomplete data sets to perform different multivariate methods, but all of them show a low statistical power. The objective of this work is to evaluate the quality of a database obtained after the application of the multiple imputation method to recover lost data. The most common approaches to deal with missing data have different consequences on the dataset and hence on the results of the analysis. "Casewise/variable deletion" consists on removin the specimens or variables that have missing values. In “Mean value imputation” missing values are replaced by their column average, resulting in a reduction of variation and an artificial increase in the power of tests. In the method of “Iterative imputation”, missing values are initially replaced by their column average. An initial PCA run is then used to compute regression values for the missing data. The procedure is iterated until convergence. The results obtained suggest this method provides a better resolution for the identification of isolated teeth.
Materia
Paleontología
Theropod Teeth
Mesozoic
Paleontología
Paleontología
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
RID-UNRN (UNRN)
Institución
Universidad Nacional de Río Negro
OAI Identificador
oai:rid.unrn.edu.ar:20.500.12049/6117

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spelling Application of the multiple imputations method in the morphometric study of theropod teethMeso, Jorge G.Baiano, Mattia AntonioArchuby, Fernando MiguelCanale, Juan IgnacioSalgado, LeonardoPaleontologíaTheropod TeethMesozoicPaleontologíaPaleontologíaFil: Meso, Jorge G. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro, Argentina.Fil: Meso, Jorge G. Consejo Nacional de Investigaciones Científicas y Técnicas. Buenos Aires, Argentina.Fil: Baiano, Mattia Antonio. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro, Argentina.Fil: Baiano, Mattia Antonio. Museo “Carmen Funes”. Nuequén, Argentina.Fil: Archuby, Fernando. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro, Argentina.Fil: Archuby, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Buenos Aires, Argentina.Fil: Canale, Juan Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Buenos Aires, Argentina.Fil: Canale, Juan Ignacio. Museo Paleontológico “Ernesto Bachmann”. Neuquén, Argentina.Fil: Salgado, Leonardo. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro, Argentina.Fil: Salgado, Leonardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Buenos Aires, Argentina.number of qualitative and quantitative parameters began to be established and systematized, with the aim of achieving a more precise classification of isolated theropod teeth. Due to exposure of these materials to taphonomic processes, the missing data arerelatively common in the study of these elements. Such loss of information can lead to a drastic reduction of the original dataset, and therefore to biased conclusions. Currently, few statistical programs are available that allow the direct use of incomplete data sets to perform different multivariate methods, but all of them show a low statistical power. The objective of this work is to evaluate the quality of a database obtained after the application of the multiple imputation method to recover lost data. The most common approaches to deal with missing data have different consequences on the dataset and hence on the results of the analysis. "Casewise/variable deletion" consists on removin the specimens or variables that have missing values. In “Mean value imputation” missing values are replaced by their column average, resulting in a reduction of variation and an artificial increase in the power of tests. In the method of “Iterative imputation”, missing values are initially replaced by their column average. An initial PCA run is then used to compute regression values for the missing data. The procedure is iterated until convergence. The results obtained suggest this method provides a better resolution for the identification of isolated teeth.2018-05-14info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttps://www.peapaleontologica.org.ar/index.php/peapa/article/view/295/355http://rid.unrn.edu.ar/handle/20.500.12049/6117engXXXII Jornadas Argentinas de Paleontología de Vertebrados & VII Jornadas Tecnicas de Paleontología de Vertebradosinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/reponame:RID-UNRN (UNRN)instname:Universidad Nacional de Río Negro2025-09-29T14:29:25Zoai:rid.unrn.edu.ar:20.500.12049/6117instacron:UNRNInstitucionalhttps://rid.unrn.edu.ar/jspui/Universidad públicaNo correspondehttps://rid.unrn.edu.ar/oai/snrdrid@unrn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:43692025-09-29 14:29:26.176RID-UNRN (UNRN) - Universidad Nacional de Río Negrofalse
dc.title.none.fl_str_mv Application of the multiple imputations method in the morphometric study of theropod teeth
title Application of the multiple imputations method in the morphometric study of theropod teeth
spellingShingle Application of the multiple imputations method in the morphometric study of theropod teeth
Meso, Jorge G.
Paleontología
Theropod Teeth
Mesozoic
Paleontología
Paleontología
title_short Application of the multiple imputations method in the morphometric study of theropod teeth
title_full Application of the multiple imputations method in the morphometric study of theropod teeth
title_fullStr Application of the multiple imputations method in the morphometric study of theropod teeth
title_full_unstemmed Application of the multiple imputations method in the morphometric study of theropod teeth
title_sort Application of the multiple imputations method in the morphometric study of theropod teeth
dc.creator.none.fl_str_mv Meso, Jorge G.
Baiano, Mattia Antonio
Archuby, Fernando Miguel
Canale, Juan Ignacio
Salgado, Leonardo
author Meso, Jorge G.
author_facet Meso, Jorge G.
Baiano, Mattia Antonio
Archuby, Fernando Miguel
Canale, Juan Ignacio
Salgado, Leonardo
author_role author
author2 Baiano, Mattia Antonio
Archuby, Fernando Miguel
Canale, Juan Ignacio
Salgado, Leonardo
author2_role author
author
author
author
dc.subject.none.fl_str_mv Paleontología
Theropod Teeth
Mesozoic
Paleontología
Paleontología
topic Paleontología
Theropod Teeth
Mesozoic
Paleontología
Paleontología
dc.description.none.fl_txt_mv Fil: Meso, Jorge G. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro, Argentina.
Fil: Meso, Jorge G. Consejo Nacional de Investigaciones Científicas y Técnicas. Buenos Aires, Argentina.
Fil: Baiano, Mattia Antonio. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro, Argentina.
Fil: Baiano, Mattia Antonio. Museo “Carmen Funes”. Nuequén, Argentina.
Fil: Archuby, Fernando. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro, Argentina.
Fil: Archuby, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Buenos Aires, Argentina.
Fil: Canale, Juan Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Buenos Aires, Argentina.
Fil: Canale, Juan Ignacio. Museo Paleontológico “Ernesto Bachmann”. Neuquén, Argentina.
Fil: Salgado, Leonardo. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro, Argentina.
Fil: Salgado, Leonardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Buenos Aires, Argentina.
number of qualitative and quantitative parameters began to be established and systematized, with the aim of achieving a more precise classification of isolated theropod teeth. Due to exposure of these materials to taphonomic processes, the missing data arerelatively common in the study of these elements. Such loss of information can lead to a drastic reduction of the original dataset, and therefore to biased conclusions. Currently, few statistical programs are available that allow the direct use of incomplete data sets to perform different multivariate methods, but all of them show a low statistical power. The objective of this work is to evaluate the quality of a database obtained after the application of the multiple imputation method to recover lost data. The most common approaches to deal with missing data have different consequences on the dataset and hence on the results of the analysis. "Casewise/variable deletion" consists on removin the specimens or variables that have missing values. In “Mean value imputation” missing values are replaced by their column average, resulting in a reduction of variation and an artificial increase in the power of tests. In the method of “Iterative imputation”, missing values are initially replaced by their column average. An initial PCA run is then used to compute regression values for the missing data. The procedure is iterated until convergence. The results obtained suggest this method provides a better resolution for the identification of isolated teeth.
description Fil: Meso, Jorge G. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro, Argentina.
publishDate 2018
dc.date.none.fl_str_mv 2018-05-14
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://www.peapaleontologica.org.ar/index.php/peapa/article/view/295/355
http://rid.unrn.edu.ar/handle/20.500.12049/6117
url https://www.peapaleontologica.org.ar/index.php/peapa/article/view/295/355
http://rid.unrn.edu.ar/handle/20.500.12049/6117
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv XXXII Jornadas Argentinas de Paleontología de Vertebrados & VII Jornadas Tecnicas de Paleontología de Vertebrados
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
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dc.format.none.fl_str_mv application/pdf
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