Statistical analysis of stratified 2x2 tables.

Statistical analysis of stratified 2x2 tables.
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分层 2x2 表的统计分析。

DOI:
10.1086/646312
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发表时间:
1991
影响因子:
4.5
通讯作者:
Davis,CS
Davis,CS
中科院分区:
医学4区
文献类型:
--
作者:
Davis,CS

文献摘要

相似文献

本系列以前的论文讨论了流行病学数据的设计和分析问题,这些数据可以在2 × 2表格中呈现。主要重点是确定二分疾病状态和二分风险因素之间关联程度的方法。描述了适用于使用匹配或不匹配样本的横断面、前瞻性和回顾性研究的方法。为了研究疾病状态和二分风险因素之间的关联,通常需要考虑可能影响疾病状态或风险因素的其他变量。例如,Hemming、Overall和布里特研究了新生儿重症监护病房中一个大婴儿队列中医院感染发生率(风险因素)与死亡率(疾病状态)之间的关系。这些作者使用总结单个2 × 2表格结果的方法分析数据。然而,由于极低出生体重与医院感染和死亡率的获得密切相关,因此控制或调整出生体重的影响可能更合适。
Previous papers in this series have discussed design and analysis issues for epidemiologic data that can be presented in a 2 × 2 table.‘” the primary focus was on methods for determining the extent of association between a dichotomous disease state and a dichotomous risk factor. methods appropriate for cross-sectional, prospective, and retrospective studies using matched or unmatched samples were described. In order to study the association between disease status and a dichotomous risk factor, it is often necessary to take into account other variables that may influence either the disease status or the risk factor. For example, Hemming, Overall, and Britt studied the association between the occurrence of nosocomial infections (risk factor) and mortality (disease status) in a large cohort of infants in a newborn intensive care unit. these authors analyzed the data using methods for summarizing the results from a single 2 × 2 table. However, because very low birth weight is associated strongly with both the acquisition of nosocomial infection and mortality, it may be more appropriate to control or adjust for the effects of birthweight.