idmTPreg: Regression Model for Progressive Illness Death Data
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http://hdl.handle.net/10347/18402
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| Title: | idmTPreg: Regression Model for Progressive Illness Death Data |
| Author: | Azarang, Leyla Oviedo de la Fuente, Manuel |
| Affiliation: | Universidade de Santiago de Compostela. Departamento de Estatística, Análise Matemática e Optimización |
| Date of Issue: | 2018 |
| Publisher: | The R Foundation |
| 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 |
| 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 |
| Publisher version: | https://journal.r-project.org/archive/2018/RJ-2018-081/index.html |
| URI: | http://hdl.handle.net/10347/18402 |
| ISSN: | 2073-4859 |
| Rights: | This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license Atribución 4.0 Internacional |
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Except where otherwise noted, this item's license is described as This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license