SurvRegCensCov：右删失协变量的Weibull回归
SurvRegCensCov: Weibull Regression for a Right-Censored Endpoint with a Censored Covariate
摘要：
生物标志物数据通常受到定量限和/或检测限的限制。从统计学上讲，这对应于左删失或区间删失。为了能够将删失的至事件时间终点与生物标志物协变量相关联，R软件包SurvRegCensCov为右删失终点、一个区间删失和任意数量的非删失协变量提供了Weibull回归软件。此外，该软件包提供了基于几个分布假设从删失样本中估计典型参数的函数，以及在R中用于Weibull回归的不同参数化之间切换的函数。我们说明了新的软件，应用它来评估普伦蒂斯的标准，从随机临床注册试验模拟数据的代孕。
英文摘要：
Biomarker data is often subject to limits of quantification and/or limits of detection. Statistically, this corresponds to left- or interval-censoring. To be able to associate a censored time-to-event endpoint to a biomarker covariate, the R package SurvRegCensCov provides software for Weibull regression for a right-censored endpoint, one interval-censored, and an arbitrary number of non-censored covariates. Furthermore, the package provides functions to estimate canonical parameters from censored samples based on several distributional assumptions, and a function to switch between different parametrizations used in R for Weibull regression. We illustrate the new software by applying it to assess Prentice's criteria for surrogacy in data simulated from a randomized clinical registration trial.
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