idmTPreg: Regression Model for Progressive Illness Death Data
| dc.contributor.affiliation | Universidade de Santiago de Compostela. Departamento de Estatística, Análise Matemática e Optimización | gl |
| dc.contributor.author | Azarang, Leyla | |
| dc.contributor.author | Oviedo de la Fuente, Manuel | |
| dc.date.accessioned | 2019-03-16T12:15:21Z | |
| dc.date.available | 2019-03-16T12:15:21Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | This paper describes the implementation of a flexible method in R for fitting a regression model to possibly non-Markov progressive illness-death data. The idmTPreg package offers the user the opportunity to estimate possibly time-varying effect of covariates on the transition probabilities for the progressive illness-death model. We have explained the use of the idmTPreg package by applying the method to a colon cancer dataset. The results in this paper were obtained using R 3.4.2. In a future version of the package, we plan to implement a similar method to estimate coefficients on net survivals for a progressive illness-death in a relative survival setting | gl |
| dc.description.peerreviewed | SI | gl |
| dc.description.sponsorship | This work was supported by funding from the European Community’s Seventh Framework Programme FP7/2011: Marie Curie Initial Training Network MEDIASRES (“Novel Statistical Methodology for Diagnostic/Prognostic and Therapeutic Studies and Systematic Reviews”; www.mediasres-itn.eu) with the Grant Agreement Number 290025, by the Basque Government through the BERC 2014-2017 program, by Spanish Ministry of Economy and Competitiveness MINECO: BCAM Severo Ochoa excellence accreditation SEV-2013-0323, Grant MTM2016-76969-P and European Regional Development Fund (ERDF). The second author acknowledges financial support from Ministerio de Economía y Competitividad Grant MTM2016-76969-P and European Regional Development Fund (ERDF) | gl |
| dc.identifier.citation | Azarang, L. & Oviedo de la Fuente, M. (2018). idmTPreg: Regression Model for Progressive Illness Death Data. The R Journal, 10:2, pp. 317-325 | gl |
| dc.identifier.issn | 2073-4859 | |
| dc.identifier.uri | http://hdl.handle.net/10347/18402 | |
| dc.language.iso | eng | gl |
| dc.publisher | The R Foundation | gl |
| dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/290025 | |
| dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2016-76969-P/ES | |
| dc.relation.publisherversion | https://journal.r-project.org/archive/2018/RJ-2018-081/index.html | gl |
| dc.rights | This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license | gl |
| dc.rights | Atribución 4.0 Internacional | |
| dc.rights.accessRights | open access | gl |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.title | idmTPreg: Regression Model for Progressive Illness Death Data | gl |
| dc.type | journal article | gl |
| dc.type.hasVersion | VoR | gl |
| dspace.entity.type | Publication |
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