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Frailty modeling for clustered survival data: an application to birth interval in Bangladesh

机译:聚集生存数据的脆弱模型:孟加拉国出生间隔的应用

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摘要

The present work demonstrates an application of random effects model for analyzing birth intervals that are clustered into geographical regions. Observations from the same cluster are assumed to be correlated because usually they share certain unobserved characteristics between them. Ignoring the correlations among the observations may lead to incorrect standard errors of the estimates of parameters of interest. Beside making the comparisons between Cox's proportional hazards model and random effects model for analyzing geographically clustered time-to-event data, important demographic and socioeconomic factors that may affect the length of birth intervals of Bangladeshi women are also reported in this paper.
机译:本工作演示了随机效应模型在分析聚类为地理区域的出生间隔中的应用。假设来自同一聚类的观察结果是相关的,因为通常它们之间具有某些未观察到的特征。忽略观察值之间的相关性可能会导致目标参数估计值的标准误不正确。除了比较Cox比例风险模型和随机效应模型以分析地理上聚集的事件发生时间数据外,本文还报道了可能影响孟加拉国妇女生育间隔时间的重要人口统计学和社会经济因素。

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