小群体和不平衡群体生存数据的基尼系数检验

Q3 Nursing

Epidemiology Biostatistics and Public Health Pub Date : 2022-07-07 DOI:10.2427/8762

C. Gigliarano, M. Bonetti

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引用次数: 2

摘要

本文的目的是研究在存在不平衡和小样本的情况下，生存数据的基尼浓度检验的性能。我们比较了渐近检验与替代排列分布检验的性能，通过模拟说明，如果群体非常小，则应使用后一种检验。此外，我们还展示了如何选择在构建检验统计量时所考虑的时间长度的定义来提高检验的性能。

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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The Gini Test for Survival Data in Presence of Small and Unbalanced Groups

The aim of this note is to study the performance of the Gini concentration test for survival data in presence of unbalanced and small samples. We compared the performance of the asymptotic test with an alternative permutation distribution test, illustrating by simulation that if groups are very small the latter test should be used. Also, we show how the definition of the length of time considered in the construction of the test statistic can be chosen to improve the performance of the test.

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来源期刊

Epidemiology Biostatistics and Public Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-

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期刊介绍： Epidemiology, Biostatistics, and Public Health (EBPH) is a multidisciplinary journal that has two broad aims: -To support the international public health community with publications on health service research, health care management, health policy, and health economics. -To strengthen the evidences on effective preventive interventions. -To advance public health methods, including biostatistics and epidemiology. EBPH welcomes submissions on all public health issues (including topics like eHealth, big data, personalized prevention, epidemiology and risk factors of chronic and infectious diseases); on basic and applied research in epidemiology; and in biostatistics methodology. Primary studies, systematic reviews, and meta-analyses are all welcome, as are research protocols for observational and experimental studies. EBPH aims to be a cross-discipline, international forum for scientific integration and evidence-based policymaking, combining the methodological aspects of epidemiology, biostatistics, and public health research with their practical applications.