Likelihood-based inference for semi-parametric transformation cure models with interval censored data

IF 0.8 4区数学 Q3 STATISTICS & PROBABILITY

Communications in Statistics-Simulation and Computation Pub Date : 2024-08-30 DOI:10.1080/03610918.2024.2393702

Suvra Pal, Sandip Barui

引用次数: 0

Abstract

A simple yet effective way of modeling survival data with cure fraction is by considering Box-Cox transformation cure model (BCTM) that unifies mixture and promotion time cure models. In this artic...

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基于似然推断的区间普查数据半参数变换治愈模型

建立包含治愈率的生存数据模型的一种简单而有效的方法是考虑 Box-Cox 转换治愈模型（BCTM），它将混合治愈模型和推广时间治愈模型统一起来。在本文中...

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来源期刊

Communications in Statistics-Simulation and Computation 数学-统计学与概率论

CiteScore

2.50

自引率

11.10%

发文量

240

审稿时长

6 months

期刊介绍： The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication. Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.