Bayesian Epidemiologic Screening Techniques

Papers that use Bayesian methods are marked by icon.

Methodological Papers

 

• Su CL, Johnson WO, Gardner IA. Hierarchical modeling and estimation of the distribution of prevalences across subpopulations based on non-dichotomized serologic data in the absence of a gold-standard test. submitted.

 

• Branscum AJ, Johnson WO, Hanson TE, Gardner IA. Bayesian semiparametric ROC curve estimation and disease diagnosis. Stat Med. 2008.

 

• Su CL, Gardner IA, Johnson WO. Bayesian estimation of aggregate test accuracy based on different sampling schemes. J Agric Biol Environ Stat. 2007 Jun; 12(2):250-71.

 

• Branscum AJ, Johnson WO, Gardner IA. Sample size calculations for studies designed to estimate diagnostic test accuracy. J Agric Biol Environ Stat. 2007 Mar; 12(1):112-27.
  

  Related link:
  S-PLUS and WinBUGS codes

 

• Branscum AJ, Johnson WO, Gardner IA. Sample size calculations for disease freedom and prevalence estimation surveys. Stat Med. 2006 Aug 15;25(15):2658-74.
  

 

• Muñoz-Zanzi CA, Thurmond MC, Heitala S, Johnson WO. Factors affecting sensitivity and specificity of pooled-sample testing for diagnosis of low prevalence infections. Prev Vet Med. 2006 Jun 16;74(4):309-22.

 

• Choi YK, Johnson WO, Collins MT, Gardner IA. Bayesian estimation of ROC curves in the absence of a gold standard. J Agric Biol Environ Stat. 2006 Jun; 11(2):210-229.

Related links:
Estimating ROC curves and corresponding AUC’s based on a gold standard
Estimating ROC curves and corresponding AUC’s in the absence of a gold standard

 

• Choi YK, Johnson WO, Thurmond MC. Diagnosis using predictive probabilities without cut-offs. Stat Med. 2006 Feb 28;25(4):699-717.

• Hanson TE, Johnson WO, Gastwirth JL. Bayesian inference for prevalence and diagnostic test accuracy based on dual-pooled screening. Biostat. 2006 Jan;7(1):41-57.

• Georgiadis MP, Johnson WO, Gardner IA. Sample size determination for estimation of the accuracy of two conditionally independent tests in the absence of a gold standard. Prev Vet Med. 2005 Sep 30;71(1-2):1-10.
  

  Related link:
  2 independent tests, 2 populations, no gold standard, Excel Workbook to estimate Se and Sp, and for frequentist sample size calculations (75 KB) [ online version]

 

• Branscum AJ, Gardner IA, Wagner BA, McInturff PS, Salman MD. Effect of diagnostic testing error on intracluster correlation coefficient estimation. Prev Vet Med. 2005 Jun 10;69(1-2):63-75.
  

 

• Branscum AJ, Gardner IA, Johnson WO. Estimation of diagnostic-test sensitivity and specificity through Bayesian modeling. Prev Vet Med. 2005 May 10;68(2-4):145-63.
  

  Related links:
  2 independent tests, 2 populations, no gold standard
  2 dependent tests, 1 population, no gold standard
  2 dependent tests, 2 populations, no gold standard
  3 tests, 1 population, no gold standard

 

• Johnson WO, Hanson TE. Comment on "On model expansion, model contraction, identifiability and prior information: Two illustrative scenarios involving mismeasured variables". Statist Sci. 2005 May;20(2):131-4.
  

 

• Branscum AJ, Gardner IA, Johnson WO. Bayesian modeling of animal- and herd-level prevalences. Prev Vet Med. 2004 Dec 15;66(1-4):101-12.
  

  Related links:
  1 test, 1 population
  Estimation of prevalence distribution: 2 tests, multiple poplulations
  Estimation of herd-level prevalence: 1 test, multiple populations

 

• Gardner IA. An epidemiologic critique of current microbial risk assessment practices: the importance of prevalence and test accuracy data. J Food Prot. 2004 Sep;67(9):2000-7.
  

 

• Su CL, Gardner IA, Johnson WO. Diagnostic test accuracy and prevalence inferences based on joint and sequential testing with finite population sampling. Stat Med. 2004 Jul 30;23(14):2237-55.

 

• Thurmond MC, Johnson WO. Effect of multiple sampling on diagnostic sensitivity. J Vet Diagn Invest. 2004 May;16(3):233-6.

 

• McInturff P, Johnson WO, Cowling D, Gardner IA. Modelling risk when binary outcomes are subject to error. Stat Med. 2004 Apr 15;23(7):1095-109.

  Related links:
  Logistic Regression, outcome measured perfectly (ordinary logistic model)
  Logistic Regression, outcome based on imperfect test results, and measured imperfectly or with “error”

 

• Johnson WO, Su CL, Gardner IA, Christensen R. Sample size calculations for surveys to substantiate freedom of populations from infectious agents. Biometrics. 2004 Mar;60(1):165-171.
  

  Related link:
  Posterior probability of herd freedom from disease

 

• Hanson TE, Johnson WO, Gardner IA, Georgiadis MP. Determining the infection status of a herd. J Agric Biol Environ Stat. 2003 Dec;8(4):469-85.

 

• Hanson TE, Johnson WO, Gardner IA. Hierarchical models for estimating herd prevalence and test accuracy in the absence of a gold standard. J Agric Biol Environ Stat. 2003 Jun;8(2):223-39.

 

• Georgiadis MP, Johnson WO, Gardner IA, Singh R. Correlation-adjusted estimation of sensitivity and specificity of two diagnostic tests. J R Stat Soc Ser C Appl Stat. 2003 Jan;52(1):63-76.

 

• Gardner IA. The utility of Bayes' theorem and Bayesian inference in veterinary clinical practice and research. Aust Vet J. 2002 Dec;80(12):758-61.

 

• Suess EA, Gardner IA, Johnson WO. Hierarchical Bayesian model for prevalence inferences and determination of a country's status for an animal pathogen. Prev Vet Med. 2002 Oct 15;55(3):155-71.

 

• Thurmond MC, Johnson WO, Muñoz-Zanzi CA, Su CL, Hietala SK. A method of probability diagnostic assignment that applies bayes theorem for use in serologic diagnostics, using an example of Neospora caninum infection in cattle. Am J Vet Res. 2002 Mar;63(3):318-25.

 

• Pouillot R, Gerbier G, Gardner IA. "TAGS", a program for the evaluation of test accuracy in the absence of a gold standard. Prev Vet Med. 2002 Feb 14;53(1-2):67-81.
  

  Related link:
  2 independent tests, 2 populations, no gold standard (TAGS) -- frequentist approach

 

• Johnson WO, Hanson TE, Gastwirth JL, Gardner IA. Pooled sample screening with quality control. Bayesian methods with applications to science, policy, and official statistics. E.I. George, Ed. 2001;253-61. (selected papers from ISBA 2000)

 

• Hanson TE, Gardner IA, Johnson WO. Log-linear and logistic modeling of dependence among diagnostic tests. Prev Vet Med. 2000 May 30;45(1-2):123-37.

 

• Gardner IA, Stryhn H, Lind P, Collins MT. Conditional dependence between tests affects the diagnosis and surveillance of animal diseases. Prev Vet Med. 2000 May 30;45(1-2):107-22.

 

• Christensen J, Gardner IA. Herd-level interpretation of test results for epidemiologic studies of animal diseases. Prev Vet Med. 2000 May 30;45(1-2):83-106.

 

• Enøe C, Georgiadis MP, Johnson WO. Estimation of sensitivity and specificity of diagnostic tests and disease prevalence when the true disease state is unknown. Prev Vet Med. 2000 May 30;45(1-2):61-81.

 

• Greiner M, Gardner IA. Application of diagnostic tests in veterinary epidemiologic studies. Prev Vet Med. 2000 May 30;45(1-2):43-59.

 

• Greiner M, Pfeiffer D, Smith RD. Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests. Prev Vet Med. 2000 May 30;45(1-2):23-41.

 

• Greiner M, Gardner IA. Epidemiologic issues in the validation of veterinary diagnostic tests. Prev Vet Med. 2000 May 30;45(1-2):3-22.

 

• Johnson WO, Gastwirth JL, Pearson LM. Screening without a "gold standard": the Hui-Walter paradigm revisited. Am J Epidemiol. 2001 May 1;153(9):921-4.

 

• Muñoz-Zanzi CA, Johnson WO, Thurmond MC, Hietala SK. Pooled-sample testing as a herd-screening tool for detection of bovine viral diarrhea virus persistently infected cattle. J Vet Diagn Invest. 2000 May;12(3):195-203.

 

• Johnson WO, Gastwirth JL. Dual group screening. J Stat Plan Infer. 2000 Feb 1;83(2):449-73.

 

• Cowling DW, Gardner IA, Johnson WO. Comparison of methods for estimation of individual-level prevalence based on pooled samples. Prev Vet Med. 1999 Apr 9;39(3):211-25.

 

• Johnson WO, Pearson LM. Dual screening. Biometrics. 1999 Sep;55(3):867-73.

 

• Gastwirth JL, Johnson WO. Screening with cost-effective quality control: potential applications to HIV and drug testing. J Am Stat Assoc. 1994 Sep;89(427):972-81.

 

• Geisser S, Johnson WO. Optimal administration of dual screening tests for detecting a characteristic with special reference to low prevalence diseases. Biometrics. 1992 Sep;48(3):839-52.

 

• Gastwirth JL, Johnson WO, Reneau DM. Bayesian analysis of screening data: application to AIDS in blood donors. Can J Stat. 1991;19(2):135-50.

 

• Johnson WO, Gastwirth JL. Bayesian inference for medical screening tests: approximations useful for the analysis of acquired immune deficiency syndrome. J R Stat Soc Ser B Met. 1991;53(2):427-39.