国家卫生统计中心比例数据呈现标准。

Q1 Mathematics
Jennifer D Parker, Makram Talih, Donald J Malec, Vladislav Beresovsky, Margaret Carroll, Joe F Gonzalez, Brady E Hamilton, Deborah D Ingram, Kenneth Kochanek, Frances McCarty, Chris Moriarity, Iris Shimizu, Alexander Strashny, Brian W Ward
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引用次数: 0

摘要

国家卫生统计中心(NCHS)通过各种出版物传播关于广泛卫生主题的信息。这些出版物必须依靠清晰和透明的表示标准,这些标准可以广泛和有效地应用。标准对于大型的、跨领域的报告尤其重要,因为这些报告不能单独评估估计,也不能在估计中包括精度指标。本报告描述了NCHS比例数据表示标准。多步NCHS数据表示标准的比例是基于最小分母样本量和绝对和相对宽度的置信区间计算使用克洛珀-皮尔逊方法。比例(通常乘以100并以百分比表示)是国家人口统计中心报告中最常报告的估计值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
National Center for Health Statistics Data Presentation Standards for Proportions.

The National Center for Health Statistics (NCHS) disseminates information on a broad range of health topics through diverse publications. These publications must rely on clear and transparent presentation standards that can be broadly and efficiently applied. Standards are particularly important for large, cross-cutting reports where estimates cannot be individually evaluated and indicators of precision cannot be included alongside the estimates. This report describes the NCHS Data Presentation Standards for Proportions. The multistep NCHS Data Presentation Standards for Proportions are based on a minimum denominator sample size and on the absolute and relative widths of a confidence interval calculated using the Clopper-Pearson method. Proportions (usually multiplied by 100 and expressed as percentages) are the most commonly reported estimates in NCHS reports.

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来源期刊
CiteScore
13.20
自引率
0.00%
发文量
0
期刊介绍: Studies of new statistical methodology including experimental tests of new survey methods, studies of vital statistics collection methods, new analytical techniques, objective evaluations of reliability of collected data, and contributions to statistical theory. Studies also include comparison of U.S. methodology with those of other countries.
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