Reliability of fetal–infant mortality rates in perinatal periods of risk (PPOR) analysis

Q3 Mathematics
Vito L Di Bona
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引用次数: 0

Abstract

Abstract The Fetal–Infant mortality rate (FIMR) is the basic surveillance statistic in perinatal periods of risk (PPOR) analyses. This paper presents a model for the FIMR as the ratio of two Poisson random variables. From this model, expressions for estimators of variance, standard error, and relative standard error are developed. The coverage properties of interval estimators for the FIMR are investigated in a simulation study for both small and large populations and FIMR rates. Results from these studies are applied to a PPOR analysis of NC vital records. Results suggest that the sample size guidance provided in the literature to ensure statistical reliability is overly conservative and interval construction methodology should be selected based on population size.
围产期危险期(PPOR)胎儿-婴儿死亡率分析的可靠性
摘要胎儿死亡率(FIMR)是围产期危险期(PPOR)分析的基本监测数据。本文提出了一个用两个泊松随机变量之比表示的FIMR模型。根据该模型,给出了方差估计量、标准误差估计量和相对标准误差估计量的表达式。在小种群和大种群以及FIMR率的模拟研究中,研究了区间估计器的覆盖特性。这些研究的结果应用于NC生命记录的por分析。结果表明,文献中为保证统计信度而提供的样本量指导过于保守,应根据总体规模选择区间构建方法。
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来源期刊
Epidemiologic Methods
Epidemiologic Methods Mathematics-Applied Mathematics
CiteScore
2.10
自引率
0.00%
发文量
7
期刊介绍: Epidemiologic Methods (EM) seeks contributions comparable to those of the leading epidemiologic journals, but also invites papers that may be more technical or of greater length than what has traditionally been allowed by journals in epidemiology. Applications and examples with real data to illustrate methodology are strongly encouraged but not required. Topics. genetic epidemiology, infectious disease, pharmaco-epidemiology, ecologic studies, environmental exposures, screening, surveillance, social networks, comparative effectiveness, statistical modeling, causal inference, measurement error, study design, meta-analysis
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