Fit quantile regression models to survival data, allowing for right censoring, left truncation, and interval censoring.
The main function
ctqr is used for model fitting. Other documented functions are
predict.ctqr, to obtain prediction from a
plot.ctqr, to plot quantile regression coefficients, and
ctqr.control, that can be used to set the operational parameters for the estimation algorithm.
Maintainer: Paolo Frumento <email@example.com>
Frumento, P., and Bottai, M. (2017). An estimating equation for censored and truncated quantile regression. Computational Statistics and Data Analysis, Vol.113, pp.53-63. ISSN: 0167-9473.
Frumento, P. (2021). A quantile regression estimator for interval-censored data (unpublished).
pchreg, that is used to compute a preliminary estimate of the conditional outcome distribution.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.