RT Journal Article
T1 idmTPreg: Regression Model for Progressive Illness Death Data
A1 Azarang, Leyla
A1 Oviedo de la Fuente, Manuel
AB This paper describes the implementation of a flexible method in R for fitting a regression modelto possibly non-Markov progressive illness-death data. The idmTPreg package offers the user theopportunity to estimate possibly time-varying effect of covariates on the transition probabilities forthe progressive illness-death model. We have explained the use of the idmTPreg package by applyingthe method to a colon cancer dataset. The results in this paper were obtained using R 3.4.2. In a futureversion of the package, we plan to implement a similar method to estimate coefficients on net survivalsfor a progressive illness-death in a relative survival setting
PB The R Foundation
SN 2073-4859
YR 2018
FD 2018
LK http://hdl.handle.net/10347/18402
UL http://hdl.handle.net/10347/18402
LA eng
NO Azarang, L. & Oviedo de la Fuente, M. (2018). idmTPreg: Regression Model for Progressive Illness Death Data. The R Journal, 10:2, pp. 317-325
NO This work was supported by funding from the European Community’s Seventh Framework Programme FP7/2011: Marie Curie Initial Training Network MEDIASRES (“Novel Statistical Methodologyfor 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 2014-2017program, by Spanish Ministry of Economy and Competitiveness MINECO: BCAM Severo Ochoa excellence accreditation SEV-2013-0323, Grant MTM2016-76969-P and European Regional DevelopmentFund (ERDF). The second author acknowledges financial support from Ministerio de Economía yCompetitividad Grant MTM2016-76969-P and European Regional Development Fund (ERDF)
DS Minerva
RD 28 abr 2026