预测神经退行性疾病存活率的统计模型

Tasnime Hamdeni, Soufiane Gasmi, M. Sayadi, J. Ginoux
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引用次数: 1

摘要

最近提出了一种新的生存模型,称为Marshall-Olkin广义缺陷Gompertz分布(MO-GDGD)。本文给出了该模型的一些数学性质。对MO-GDGD参数的不同取值和不同样本量进行了详尽的模拟研究。应用统计推理方法对肌萎缩性侧索硬化症患者进行生存分析。考虑到数据的第一类权利审查。得到了有趣的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical modeling for the prediction of survival rate in a neurodegenerative disease
A new survival model called the Marshall-Olkin Generalized Defective Gompertz Distribution (MO-GDGD) has been recently developed. We present in this paper some mathematical properties of the model. An exhaustive simulation study is conducted for various values of the parameters of MO-GDGD and different sample sizes. Statistical inference methods were applied for the survival analysis of patients suffering from the neurogenerative pathology Amyotrophic Lateral Sclerosis. The type I right-censorship of the data was taken into account. Interesting results have been obtained.
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