复发事件的关节衰弱模型和治疗分数存在的终末事件

Q3 Nursing
Zahra Arab Borzu, A. Baghestani, E. Talebi Ghane, Aliakbar Khadem Maboudi, A. Akhavan, A. Saeedi
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引用次数: 0

摘要

在许多纵向研究中观察到重复或反复发生的事件。此外,有时可能存在死亡等终末事件,这与复发事件密切相关。在许多情况下,一小部分在长期随访期间从未经历感兴趣事件的受试者被认为已经治愈。在本文中,我们提出了一个存在治愈分数的关节脆弱模型。依赖关系由包含在循环事件和终止事件危险函数中的共享脆弱性建模。它允许在复发、死亡和治愈模型上估计两组独立的参数。我们采用分段常数风险函数下的最大似然法进行模型拟合。通过仿真研究对所提出的模型进行了评价,并给出了在乳腺癌数据中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint frailty model for recurrent events and a terminal event in the presence of cure fraction
The observations of repeated or recurrent events occur in many longitudinal studies. Furthermore, sometimes there may exist a terminal event such as death, which is strongly correlated with recurrent events. In many situations, a fraction of subjects who will never experience the event of interest during a long follow-up period is considered to be cured. In this article, we proposed a joint frailty model in the presence of cure fraction. The dependency is modeled by shared frailty that is contained in both the recurrent andterminal events hazard functions. It allows to estimate two separate sets of parameters on the recurrent, death, and cure model. We applied the maximum likelihood method under a piecewise constant hazard function for model fitting. The proposed model is evaluated by simulation studies and an application to a breast cancer data is provided.
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来源期刊
Epidemiology Biostatistics and Public Health
Epidemiology Biostatistics and Public Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
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期刊介绍: Epidemiology, Biostatistics, and Public Health (EBPH) is a multidisciplinary journal that has two broad aims: -To support the international public health community with publications on health service research, health care management, health policy, and health economics. -To strengthen the evidences on effective preventive interventions. -To advance public health methods, including biostatistics and epidemiology. EBPH welcomes submissions on all public health issues (including topics like eHealth, big data, personalized prevention, epidemiology and risk factors of chronic and infectious diseases); on basic and applied research in epidemiology; and in biostatistics methodology. Primary studies, systematic reviews, and meta-analyses are all welcome, as are research protocols for observational and experimental studies. EBPH aims to be a cross-discipline, international forum for scientific integration and evidence-based policymaking, combining the methodological aspects of epidemiology, biostatistics, and public health research with their practical applications.
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