idmTPreg: Regression Model for Progressive Illness Death Data

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URI: http://hdl.handle.net/10347/18402
ISSN: 2073-4859

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2018

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The R Foundation
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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

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Azarang, L. & Oviedo de la Fuente, M. (2018). idmTPreg: Regression Model for Progressive Illness Death Data. The R Journal, 10:2, pp. 317-325

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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)

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This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license
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