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Updated: Apr 26, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Estimation and residual analysis with R for a linear regression model with an interval-censored covariate
Klaus Langohr1, Guadalupe Gómez Melis1
1Departament d'Estadística i Investigació Operativa, Universitat Politècnica de Catalunya/BARCELONATECH, C/Jordi Girona, 1-3, 08034, Barcelona, Spain.
Abstract:
Interval-censored covariates are sometimes encountered in longitudinal studies and considered as possible predictors in a regression model. This paper, motivated by an AIDS study, proposes an implementation in R for the estimation of parameters and the assessment of the assumptions of a linear regression model with an interval-censored covariate. The properties of the parameters estimators and the behavior of three proposed residuals are addressed through two simulation studies. Also, guidelines are provided to check the goodness-of-fit of the fitted model in terms of the length of the censoring interval of the covariate. The methodology is illustrated with real data coming from the AIDS study. R functions and scripts are provided.
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