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

Details

• Alternative Title:
  Stata J
• Personal Author:
  Ward, Brian W.
• Description:
  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 |, a postestimation command that is used following |. 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 | 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.
• Subjects:
  Article Clopper-Pearson Confidence Interval Complex Sample Design Effective Sample Size Exact Confidence Interval Health Care Health Survey Data National Ambulatory Medical Care Survey Survey Design
• Source:
  Stata J. 19(3):510-522
• Pubmed ID:
  31814807
• Pubmed Central ID:
  PMC6896998
• Document Type:
  Journal Article
• Funding:
  CC999999/ImCDC/Intramural CDC HHS/United States
• Volume:
  19
• Issue:
  3
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:c904cb855a594ca201f802c2d68f0f87bfd2b266de577aa48ef91e5609a25c66
• Download URL:
  https://stacks.cdc.gov/view/cdc/83564/cdc_83564_DS1.pdf
• File Type:
  [PDF - 1.44 MB ]