kg_nchs: A command for Korn–Graubard confidence intervals and National Center for Health Statistics’ Data Presentation Standards for Proportions

Brian W. Ward ()
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Brian W. Ward: National Center for Health Statistics

Stata Journal, 2019, vol. 19, issue 3, 510-522

Abstract: 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 one to take the Korn–Graubard confidence interval (CI), CI widths, sample size, and degrees of freedom to assess reliability of a proportion and determine whether it can be presented. The assessment itself involves determining whether several conditions are met. In this article, I present 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 presenta- tion standards for proportions and b) display a series of three dichotomous flags that show whether the standards are met. I provide empirical examples to 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 stem from any survey with a complex sample design.

Keywords: kg_nchs; health survey data; complex sample design; effective sample size; Clopper–Pearson confidence interval; exact confidence interval; healthcare; Korn–Graubard confidence interval; National Ambulatory Medical Care Survey; survey design (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1177/1536867X19874221

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