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Biomarker data is often subject to limits of quantification and/or limits ofdetection. Statistically, this corresponds to left- or interval-censoring. Tobe able to associate a censored time-to-event endpoint to a biomarkercovariate, the R package SurvRegCensCov provides software for Weibullregression for a right-censored endpoint, one interval-censored, and anarbitrary number of non-censored covariates. Furthermore, the package providesfunctions to estimate canonical parameters from censored samples based onseveral distributional assumptions, and a function to switch between differentparametrizations used in R for Weibull regression. We illustrate the newsoftware by applying it to assess Prentice's criteria for surrogacy in datasimulated from a randomized clinical registration trial.

SurvRegCensCov: Weibull Regression for a Right-Censored Endpoint with a Censored Covariate