A Calibration Function Built From Change Points: a Review

In this work are compared using simulation methods for estimating Breslow, Efron and exact in Cox regression, to find the estimate of the model parameters, obtaining confidence intervals by resampling the Bootstrap, Jackknife and traditional asymptotic. Are generated samples of times using the inverse...

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Autores:
Ramírez Montoya, Javier
Regino, Ever
Guerrero, Stalyn
Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad Santo Tomás
Repositorio:
Repositorio Institucional USTA
Idioma:
spa
OAI Identifier:
oai:repository.usta.edu.co:11634/6500
Acceso en línea:
https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/2822
Palabra clave:
Regression of Cox; Bootstrap; Jackknife.
Calibración; modelos mixtos; punto de cambio
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License
Copyright (c) 2017 Comunicaciones en Estadística
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oai_identifier_str oai:repository.usta.edu.co:11634/6500
network_acronym_str SANTTOMAS2
network_name_str Repositorio Institucional USTA
repository_id_str
spelling Ramírez Montoya, JavierRegino, EverGuerrero, Stalyn2017-05-16https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/282210.15332/s2027-3355.2017.0001.05In this work are compared using simulation methods for estimating Breslow, Efron and exact in Cox regression, to find the estimate of the model parameters, obtaining confidence intervals by resampling the Bootstrap, Jackknife and traditional asymptotic. Are generated samples of times using the inverse of the transformation, for models of exponential regression and Weibull. It illustrates the results of the amplitudes of the confidence intervals taking as a reference the regression estimate parametric. Showing the efficiency of these intervals.El problema de calibración no es reciente. Los trabajos en este tema fueron presentados inicialmente por Krutchkoff en la época de los 60's bajo un enfoque paramétrico y han sido ampliamente estudiados por otros autores desde diferentes enfoques. Las recientes investigaciones respecto al punto de cambio, han considerado supuestos adicionales y estimación usando modelos lineales mixtos. Se presenta una revisión exhaustiva de estos dos problemas y se puede observar que la vinculación de estos no ha sido trabajado.application/pdfapplication/octet-streamspaUniversidad Santo Tomáshttps://revistas.usantotomas.edu.co/index.php/estadistica/article/view/2822/3439https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/2822/3572Comunicaciones en Estadística; Vol. 10, Núm. 1 (2017); 101-1122339-30762027-3355Comunicaciones en Estadística; Vol. 10, Núm. 1 (2017); 101-112Copyright (c) 2017 Comunicaciones en Estadísticahttp://purl.org/coar/access_right/c_abf2A Calibration Function Built From Change Points: a ReviewComparison of Methods of Estimation in Regression of Coxinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Regression of Cox; Bootstrap; Jackknife.Calibración; modelos mixtos; punto de cambio11634/6500oai:repository.usta.edu.co:11634/65002023-07-14 16:32:56.645metadata only accessRepositorio Universidad Santo Tomásnoreply@usta.edu.co
dc.title.spa.fl_str_mv A Calibration Function Built From Change Points: a Review
dc.title.alternative.eng.fl_str_mv Comparison of Methods of Estimation in Regression of Cox
title A Calibration Function Built From Change Points: a Review
spellingShingle A Calibration Function Built From Change Points: a Review
Regression of Cox; Bootstrap; Jackknife.
Calibración; modelos mixtos; punto de cambio
title_short A Calibration Function Built From Change Points: a Review
title_full A Calibration Function Built From Change Points: a Review
title_fullStr A Calibration Function Built From Change Points: a Review
title_full_unstemmed A Calibration Function Built From Change Points: a Review
title_sort A Calibration Function Built From Change Points: a Review
dc.creator.fl_str_mv Ramírez Montoya, Javier
Regino, Ever
Guerrero, Stalyn
dc.contributor.author.spa.fl_str_mv Ramírez Montoya, Javier
Regino, Ever
Guerrero, Stalyn
dc.subject.proposal.eng.fl_str_mv Regression of Cox; Bootstrap; Jackknife.
topic Regression of Cox; Bootstrap; Jackknife.
Calibración; modelos mixtos; punto de cambio
dc.subject.proposal.spa.fl_str_mv Calibración; modelos mixtos; punto de cambio
description In this work are compared using simulation methods for estimating Breslow, Efron and exact in Cox regression, to find the estimate of the model parameters, obtaining confidence intervals by resampling the Bootstrap, Jackknife and traditional asymptotic. Are generated samples of times using the inverse of the transformation, for models of exponential regression and Weibull. It illustrates the results of the amplitudes of the confidence intervals taking as a reference the regression estimate parametric. Showing the efficiency of these intervals.
publishDate 2017
dc.date.issued.spa.fl_str_mv 2017-05-16
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.drive.none.fl_str_mv info:eu-repo/semantics/article
dc.identifier.spa.fl_str_mv https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/2822
10.15332/s2027-3355.2017.0001.05
url https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/2822
identifier_str_mv 10.15332/s2027-3355.2017.0001.05
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.spa.fl_str_mv https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/2822/3439
https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/2822/3572
dc.relation.citationissue.spa.fl_str_mv Comunicaciones en Estadística; Vol. 10, Núm. 1 (2017); 101-112
2339-3076
2027-3355
dc.relation.citationissue.eng.fl_str_mv Comunicaciones en Estadística; Vol. 10, Núm. 1 (2017); 101-112
dc.rights.spa.fl_str_mv Copyright (c) 2017 Comunicaciones en Estadística
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Copyright (c) 2017 Comunicaciones en Estadística
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.spa.fl_str_mv application/pdf
application/octet-stream
dc.publisher.spa.fl_str_mv Universidad Santo Tomás
institution Universidad Santo Tomás
repository.name.fl_str_mv Repositorio Universidad Santo Tomás
repository.mail.fl_str_mv noreply@usta.edu.co
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