Under-five child mortality in Bangladesh: Classical and Bayesian approaches to Cox proportional hazard model

S. Nilima
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引用次数: 4

Abstract

This study examines the determinants of under-five child mortality in Bangladesh using the data extracted from the Bangladesh Demographic and Health Survey (BDHS), 2011 and 2014. Product-Limit method and Log-Rank test have been used for bivariate analysis. Cox proportional hazard model has been employed under both classical and Bayesian approaches. Cox regression analysis reveals that region (Barisal and Sylhet), maternal education (higher education), mother’s membership of NGO have significant impact on child mortality. The results obtained using Bayesian Cox PH model are almost similar except one key finding. Under Bayesian analysis, child’s size at birth appeared as potential determinant of under-five mortality whereas it has insignificant effect on child survival when classical Cox model has been applied. Bangladesh J. Sci. Res. 30(1&2): 45-54, December-2017
孟加拉国五岁以下儿童死亡率:Cox比例风险模型的经典和贝叶斯方法
本研究利用2011年和2014年孟加拉国人口与健康调查(BDHS)中提取的数据,探讨了孟加拉国五岁以下儿童死亡率的决定因素。双变量分析采用产品限法和Log-Rank检验。Cox比例风险模型在经典方法和贝叶斯方法下都得到了应用。Cox回归分析显示,地区(Barisal和Sylhet)、母亲受教育程度(高等教育)、母亲是否加入非政府组织对儿童死亡率有显著影响。使用贝叶斯Cox PH模型得到的结果几乎相似,除了一个关键发现。在贝叶斯分析下,儿童出生时的体型是5岁以下儿童死亡率的潜在决定因素,而在经典Cox模型下,它对儿童存活率的影响不显著。[j]。Res. 30(1&2): 45-54, 2017年12月
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