Diagnostic test accuracy and prevalence inferences based on joint and sequential testing with finite population sampling

Statistics in Medicine

Volumn 23, Issue 14, 2004, Pages 2237-2255

  Su, Chun Lung ^a   Gardner, Ian A ^a   Johnson, Wesley O ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Bayesian approach; Gibbs sampling; Hypergeometric distribution; Prevalence; Sensitivity; Specificity

Indexed keywords

AGGLUTINATION TEST; ARTICLE; BINOMIAL DISTRIBUTION; BIOASSAY; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST; HUMAN; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MYCOBACTERIUM TUBERCULOSIS; NONHUMAN; POPULATION MODEL; POPULATION SIZE; PREVALENCE; PROCESS MODEL; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; SEQUENTIAL ANALYSIS; SEROLOGY; STANDARD; STATISTICAL ANALYSIS; SWINE DISEASE; TOXOPLASMA GONDII; TOXOPLASMOSIS; TUBERCULIN TEST; TUBERCULOSIS;

AGGLUTINATION TESTS; ANIMALS; BIOLOGICAL ASSAY; CATS; DATA INTERPRETATION, STATISTICAL; DIAGNOSTIC TESTS, ROUTINE; HUMANS; MICE; MODELS, STATISTICAL; MYCOBACTERIUM TUBERCULOSIS; SENSITIVITY AND SPECIFICITY; SKIN TESTS; SWINE; SWINE DISEASES; TOXOPLASMA; TOXOPLASMOSIS, ANIMAL; TUBERCULOSIS;

EID: 3242777025     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1809     Document Type: Article

References (18)

1. Geisser S, Johnson WO. Optimal administration of dual screening tests for detecting a characteristic with special reference to low prevalence diseases. Biometrics 1992; 48:839-852.
2. Hui SL, Walter SD. Estimating the error rates of diagnostic tests. Biometrics 1980; 36:167-171.
3. Sinclair MD, Gastwirth JL. On procedures for evaluating the effectiveness of reinterview survey methods: application to labor force data. Journal of the American Statistical Association 1996; 91:961-969.
4. Dendukuri N, Joseph L. Bayesian approaches to modelling the conditional dependence between multiple diagnostic tests. Biometrics 2001; 57:158-167.
5. Black MA, Craig BA. Estimating disease prevalence in the absence of a gold standard. Statistics in Medicine 2002; 21:2653-2669.
6. Georgiadis MP, Johnson WO, Gardner IA, Singh R. Correlation-adjusted estimation of sensitivity and specificity of two diagnostic tests. Applied Statistics 2003; 52:63-76.
7. Vacek PM. The effect of conditional dependence on the evaluation of diagnostic tests. Biometrics 1985; 41: 959-968.
8. Torrance-Rynard VL, Walter SL. Effects of dependent errors in the assessment of diagnostic test performance. Statistics in Medicine 1997; 16:2157-2175.
9. Qu Y, Tan M, Kutner MH. Random effects models in latent class analysis for evaluating accuracy of diagnostic tests. Biometrics 1996; 52:797-810.
10. Hagdu A, Qu Y. A biomedical application of latent class models with random effects. Applied Statistics 1998; 47:603-616.
11. Qu Y, Hagdu A. A model for evaluating the sensitivity and specificity for correlated diagnostic tests in efficacy Studies with an imperfect reference test. Journal of the American Statistical Association 1998; 93:920-928.
12. Enøe C, Georgiadis MP, Johnson WO. Estimation of sensitivity and specificity of diagnostic tests and disease prevalence when the true disease state is unknown. Preventive Veterinary Medicine 2000; 45:61-81.
13. Tanner MA. Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions (3rd edn). Springer-Verlag: New York, 1996.
14. Gelman A, Rubin DB. Inference from iterative simulation using multiple sequences (with discussion). Statistics Science 7:457-511.
15. Brooks SP, Gelman A. General methods for monitoring convergence of iterative simulations. Journal of Computational and Graphical Statistics 1998; 7:434-455.
16. Rose DN, Schechter CB, Adler JJ. Interpretation of the tuberculin skin test. Journal of General Internal Medicine 1995; 10:635-642.
17. Dubey JP. Thulliez P, Weigel RM, Andrews CD, Lind P, Powell EC. Sensitivity and specificity of various serologic tests for detection of Toxoplasma gondii infection in naturally infected sows. American Journal of Veterinary Research 1995; 56:1030-1036.
18. Suess EA, Johnson WO, Gardner IA. Hierarchical Bayesian model for prevalence inferences and determination of a country's status for an animal pathogen. Preventive Veterinary Medicine 2002; 55:155-171.