Contains functions for estimating generalized parametric mixture and non-mixture cure models , loss of lifetime, mean residual lifetime, and crude event probabilities.

2022年11月1日 · The cuRe package contains two functions for computing parametric mixture cure models, namely fit.cure.model and GenFlexCureModel, which enable modelling using a wide …

2023年7月9日 · Contains functions for estimating generalized parametric mixture and non-mixture cure models <doi:10.1016/j.cmpb.2022.107125>, loss of lifetime, mean residual lifetime, and …

2023年7月6日 · Parametric cure model Description. This function fits parametric cure models using simple parametric distributions. Usage

The two main groups of cure models are the mixture cure model and the promotion time cure (PTC) model, introduced by Boag 10 and Yakovlev and Tsodikov, 11 respectively. Amico and …

2021年3月4日 · Identifying a significant cure fraction and sufficient follow-up is usually the recommended first step before one applies cure models to survival data. 42 In fact, cure …

2024年6月1日 · We present a novel R package CureAuxSP to fit the semiparametric mixture cure models for right censored survival data in the presence of subgroup survival probabilities at …

So, the goal is twofold: to study both the cure probability and the failure time of the uncured individuals through a proper survival function (latency). The R package npcure implements a …

CuRe is a package that provides functions for survival analysis with cure models. Cure models are used when a proportion of the population is considered ‘cured’ or not at risk of …

2021年2月26日 · Mixture cure models have the potential to improve the accuracy of survival estimates for treatments associated with statistical cure, and the present tutorial outlines the …