Variance estimation for population attributable risk in a complex cross-sectional animal health survey

Bruce A. Wagner, Scott J. Wells, Phillip S. Kott

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Population attributable risk estimates offer a method of combining information on population exposure and disease risk factors into a single measure. Univariate and multivariable methods exist for calculating point estimates and variances under the assumption of equal sampling probabilities. National Animal Health Monitoring System national studies typically use a complex survey design (where selection probabilities vary by design strata), which makes use of these methods of calculating variance inappropriate. We suggest the use of a method called "delete-a-group" jackknife to estimate the variance of population attributable risk when a complex survey design has been implemented. We demonstrate the method using an example of Johne's disease. Advantages of the "delete-a-group" jackknife method include simplicity of implementation and flexibility to estimate variance for any point estimate of interest. Published by Elsevier Science B.V.

Original languageEnglish (US)
Pages (from-to)1-13
Number of pages13
JournalPreventive Veterinary Medicine
Volume48
Issue number1
DOIs
StatePublished - Jan 17 2001

Keywords

  • Estimation
  • Johne's disease
  • National Animal Health Monitoring System
  • Population attributable risk
  • Variance

Fingerprint Dive into the research topics of 'Variance estimation for population attributable risk in a complex cross-sectional animal health survey'. Together they form a unique fingerprint.

Cite this