Mortality Modeling Under Stochastic Frailty

IF 0.4 Q4 MATHEMATICS Missouri Journal of Mathematical Sciences Pub Date : 2021-05-01 DOI:10.35834/2021/3301105
Kazi Tanvir Hasan, Olcay Akman
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引用次数: 0

Abstract

When mortality statistics are reported for fatal diseases, they reflect the ratio of the overall mortality within the target population which is impacted from the disease in question. Reporting overall mortality leads to erroneous predictions since cohorts with different frailties are impacted at different rates. In this paper, we study methods for predicting mortality under varying conditions with the goal of removing the impact of hidden heterogeneity from the parameter estimates.
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随机脆弱性下的死亡率模型
当报告致命疾病的死亡率统计数据时,它们反映了受相关疾病影响的目标人群的总体死亡率的比率。报告总体死亡率会导致错误的预测,因为具有不同虚弱程度的队列会受到不同比率的影响。在本文中,我们研究了在不同条件下预测死亡率的方法,目的是从参数估计中消除隐藏的异质性的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
9
期刊介绍: Missouri Journal of Mathematical Sciences (MJMS) publishes well-motivated original research articles as well as expository and survey articles of exceptional quality in mathematical sciences. A section of the MJMS is also devoted to interesting mathematical problems and solutions.
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