Comparison of methods for estimation of individual-level prevalence based on pooled samples

David W. Cowling, Ian Gardner, Wesley O. Johnson

Research output: Contribution to journalArticle

93 Citations (Scopus)

Abstract

We review frequentist and Bayesian approaches for estimating animal-level disease prevalence using pooled samples obtained by simple random sampling. We determine the preferred approach for different prevalence scenarios and with varying knowledge about sensitivity and specificity values. When sensitivity and specificity are perfect or known, we can choose between the large-sample theory estimates and the one-to-one relationship exact estimates. When sensitivity and specificity are unknown, we must use large-sample theory estimates or Bayesian methodology (which gives exact estimates). However, when the large-sample theory produces a negative lower confidence limit, we must use one of the exact methods. We compare estimates from each approach using culture results from pools of 20 eggs from three flocks on a California ranch that were producing eggs that were contaminated with Salmonella enteritidis phage type 4.

Original languageEnglish (US)
Pages (from-to)211-225
Number of pages15
JournalPreventive Veterinary Medicine
Volume39
Issue number3
DOIs
StatePublished - Apr 9 1999

Fingerprint

Sensitivity and Specificity
Eggs
Salmonella Phages
Salmonella enteritidis
Animal Diseases
Bayes Theorem
sampling
methodology
disease prevalence
ranching
Salmonella Enteritidis
bacteriophages
flocks
animals

Keywords

  • Bayesian methods
  • Pooled testing
  • Prevalence
  • Salmonella enteritidis
  • Sensitivity
  • Specificity

ASJC Scopus subject areas

  • Food Animals
  • Animal Science and Zoology

Cite this

Comparison of methods for estimation of individual-level prevalence based on pooled samples. / Cowling, David W.; Gardner, Ian; Johnson, Wesley O.

In: Preventive Veterinary Medicine, Vol. 39, No. 3, 09.04.1999, p. 211-225.

Research output: Contribution to journalArticle

@article{3528a356037a4fd79b98cbddbe610c08,
title = "Comparison of methods for estimation of individual-level prevalence based on pooled samples",
abstract = "We review frequentist and Bayesian approaches for estimating animal-level disease prevalence using pooled samples obtained by simple random sampling. We determine the preferred approach for different prevalence scenarios and with varying knowledge about sensitivity and specificity values. When sensitivity and specificity are perfect or known, we can choose between the large-sample theory estimates and the one-to-one relationship exact estimates. When sensitivity and specificity are unknown, we must use large-sample theory estimates or Bayesian methodology (which gives exact estimates). However, when the large-sample theory produces a negative lower confidence limit, we must use one of the exact methods. We compare estimates from each approach using culture results from pools of 20 eggs from three flocks on a California ranch that were producing eggs that were contaminated with Salmonella enteritidis phage type 4.",
keywords = "Bayesian methods, Pooled testing, Prevalence, Salmonella enteritidis, Sensitivity, Specificity",
author = "Cowling, {David W.} and Ian Gardner and Johnson, {Wesley O.}",
year = "1999",
month = "4",
day = "9",
doi = "10.1016/S0167-5877(98)00131-7",
language = "English (US)",
volume = "39",
pages = "211--225",
journal = "Preventive Veterinary Medicine",
issn = "0167-5877",
publisher = "Elsevier",
number = "3",

}

TY - JOUR

T1 - Comparison of methods for estimation of individual-level prevalence based on pooled samples

AU - Cowling, David W.

AU - Gardner, Ian

AU - Johnson, Wesley O.

PY - 1999/4/9

Y1 - 1999/4/9

N2 - We review frequentist and Bayesian approaches for estimating animal-level disease prevalence using pooled samples obtained by simple random sampling. We determine the preferred approach for different prevalence scenarios and with varying knowledge about sensitivity and specificity values. When sensitivity and specificity are perfect or known, we can choose between the large-sample theory estimates and the one-to-one relationship exact estimates. When sensitivity and specificity are unknown, we must use large-sample theory estimates or Bayesian methodology (which gives exact estimates). However, when the large-sample theory produces a negative lower confidence limit, we must use one of the exact methods. We compare estimates from each approach using culture results from pools of 20 eggs from three flocks on a California ranch that were producing eggs that were contaminated with Salmonella enteritidis phage type 4.

AB - We review frequentist and Bayesian approaches for estimating animal-level disease prevalence using pooled samples obtained by simple random sampling. We determine the preferred approach for different prevalence scenarios and with varying knowledge about sensitivity and specificity values. When sensitivity and specificity are perfect or known, we can choose between the large-sample theory estimates and the one-to-one relationship exact estimates. When sensitivity and specificity are unknown, we must use large-sample theory estimates or Bayesian methodology (which gives exact estimates). However, when the large-sample theory produces a negative lower confidence limit, we must use one of the exact methods. We compare estimates from each approach using culture results from pools of 20 eggs from three flocks on a California ranch that were producing eggs that were contaminated with Salmonella enteritidis phage type 4.

KW - Bayesian methods

KW - Pooled testing

KW - Prevalence

KW - Salmonella enteritidis

KW - Sensitivity

KW - Specificity

UR - http://www.scopus.com/inward/record.url?scp=0033537985&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033537985&partnerID=8YFLogxK

U2 - 10.1016/S0167-5877(98)00131-7

DO - 10.1016/S0167-5877(98)00131-7

M3 - Article

VL - 39

SP - 211

EP - 225

JO - Preventive Veterinary Medicine

JF - Preventive Veterinary Medicine

SN - 0167-5877

IS - 3

ER -