统计
置信区间
卫生统计
可靠性(半导体)
介绍(产科)
样本量测定
样品(材料)
测量数据收集
标准误差
调查抽样
全国健康与营养检查调查
计算机科学
数学
医学
环境卫生
人口
色谱法
功率(物理)
放射科
量子力学
物理
化学
出处
期刊:Stata Journal
[SAGE Publishing]
日期:2019-09-01
卷期号:19 (3): 510-522
被引量:30
标识
DOI:10.1177/1536867x19874221
摘要
In August 2017 the National Center for Health Statistics (NCHS), part of the U.S. Federal Statistical System, published new standards for determining the reliability of proportions estimated using their data. These standards require an individual to take the Korn-Graubard confidence interval (CI), along with CI widths, sample size, and degrees of freedom, to assess reliability of a proportion and determine if it can be presented. The assessment itself involves determining if several conditions are met. This manuscript presents kg_nchs, a postestimation command that is used following svy: proportion. It allows Stata users to (a) calculate the Korn-Graubard CI and associated statistics used in applying the NCHS presentation standards for proportions, and (b) display a series of three dichotomous flags that show if the standards are met. The empirical examples provided show how kg_nchs can be used to easily apply the standards and prevent Stata users from needing to perform manual calculations. While developed for NCHS survey data, this command can also be used with data that stems from any survey with a complex sample design.
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