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Estimation and residual analysis with R for a linear regression model with an interval-censored covariate

Author
Langohr, K.; Gómez Melis, Guadalupe
Type of activity
Journal article
Journal
Biometrical journal
Date of publication
2014-08
Volume
56
Number
5
First page
867
Last page
885
DOI
https://doi.org/10.1002/bimj.201300204 Open in new window
Project funding
Métodos avanzados en estudios de seguimiento: diseño de ensayos clínicos, datos longitudinales y censura en un intervalo
URL
http://onlinelibrary.wiley.com/doi/10.1002/bimj.201300204/abstract Open in new window
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...
Keywords
Interval censoring, Linear regression model, Residual analysis
Group of research
GRBIO - Biostatistics and Bioinformatics Research Group

Participants