基加利大学教学医院的婴儿死亡率:Aalen加性危险模型的应用以及与其他经典生存模型的比较。

Q3 Social Sciences
P. Gatabazi, S. Melesse, S. Ramroop
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引用次数: 2

摘要

背景:除了迄今在卢旺达人口政策方面所作的努力之外,还应该对能够防止婴儿死亡的因素进行广泛研究,以便更好地控制婴儿死亡率。本研究介绍了生存分析在卢旺达基加利大学教学医院(KUTH)婴儿死亡率的应用。数据与方法:记录KUTH数据集。Aalen加性风险模型(AAHM)用于评估IM与协变量之间的关系。应用Cox比例风险模型(CPHM)和Cox- aalen风险模型(CAHM),比较了三种模型的结果。结果:AAHM区分了时间相关变量和固定协变量,这使得CPHM和CAHM的结果很容易解释。结论:20岁以后避免怀孕,临床推荐孕期营养,可降低IM。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Infant mortality at the Kigali University Teaching Hospital: Application of Aalen additive hazards model and comparison with other classical survival models.
Background:  Beyond the effort provided on the population policy in Rwanda so far, extensive studies on factors that could prevent infant mortality (IM) should be done for more controlling the Infant mortality rate (IMR).  This study presents an application of survival analysis to the infant mortality at the Kigali University Teaching Hospital (KUTH) in Rwanda. Data and methods: The dataset of the KUTH was recorded.  Aalen Additive Hazard Model (AAHM) is used for assessing the relationship between the IM and covariates. The Cox Proportional Hazard Model (CPHM) and the Cox-Aalen Hazard Model (CAHM) are also applied, the results of these three models are compared. Findings: The AAHM distinguishes time dependent and fixed covariates, and this allows an easy interpretation of the results found in CPHM and CAHM. Conclusion: Avoidance of pregnancy until after age 20 and clinically recommended nutrition for the mother during pregnancy would decrease IM.
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来源期刊
Etude de la Population Africaine
Etude de la Population Africaine Social Sciences-Demography
自引率
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期刊介绍: African Population Studies is a biannual, peer-reviewed journal that publishes original research articles, reviews, commentaries, letters and case studies on topics related to the disciplines represented by the Union for African Population Studies Association. These disciplines include demography, population studies, public health, epidemiology, social statistics, population geography, development studies, economics and other social sciences that deal with population and development interrelationships that are unique and relevant to Africa and global audience.
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