A Bayesian approach to estimate and validate the false negative fraction in a two-stage multiple screening test

Methods of Information in Medicine

Volumn 43, Issue 5, 2004, Pages 461-464

  Held, Leonhord ^a   Ranyimbo, A O ^a  

^a UNIVERSITY OF MUNICH   (Germany)

Author keywords

Bayesian analysis; MCMC; Prediction; Sensitivity; Validation

Indexed keywords

BAYES THEOREM; CANCER DIAGNOSIS; CANCER SCREENING; COLON CANCER; CONFERENCE PAPER; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST; HUMAN; MAJOR CLINICAL STUDY; MAXIMUM LIKELIHOOD METHOD; OCCULT BLOOD TEST; PRIORITY JOURNAL; PROBABILITY; REGRESSION ANALYSIS; SCREENING TEST; STATISTICAL MODEL;

EID: 11144307787     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.1055/s-0038-1633898     Document Type: Conference Paper

References (15)

1. Begg CB. Assessment of diagnostic tests when disease verification is subject to selection bias. Biometrics 1983; 39: 207-15.
2. Walter SD. Estimation of test sensitivity and specificity when disease confirmation is limited to positive results. Epidemiology 1999; 10: 67-72.
3. Lloyd CJ, Frommer DJ. Estimating the false negative fraction for a multiple screening test for bowel cancer when the negatives are not verified. Austral NZ J Statist 2004 (in press).
4. Lloyd CJ, Frommer DJ. Regression based estimation of the false negative fraction when multiple negatives are unverified. Appl Statist 2004; 53: 619-31.
5. O'Hagan A. HSSS model criticism. In: Green PJ, Hjort NL, Richardson S, eds. Highly Structured Stochastic Systems. Oxford: Oxford University Press, 2003: 423-44.
6. Lee JC, Sabavala DJ. Bayesian estimation and prediction for the beta-binomial model. J Busin and Econ Statist 1987; 5: 357-67.
7. Williams DA. The analysis of binary responses from toxicological experiments involving reproduction and teratogenicity. Biometrics 1975; 31: 949-52.
8. McCullagh P, Neider JA. Generalized linear models. London: Chapman and Hall, 1989.
9. Lloyd CJ. Analysis of categorical data. New York: Wiley, 1999.
10. Bernardo JM, Smith AFM. Bayesian theory. New York: Wiley, 1994.
11. van der Linde A. Personal communication 2003.
12. Hastings WK. Monte Carlo sampling methods using Markov chains and their applications. Biometrika 1970; 57: 97-109.
13. Gamerman D. Sampling from the posterior distribution in generalized linear mixed models. Statist and Comp 1997; 7: 57-68.
14. Gelman A, Roberts GO, Gilks WR. Efficient Metropolis jumping rules. In: Bernardo JM, Berger J, Dawid AP, Smith AFM, eds. Bayesian Satistics 5. Oxford: Oxford University Press 1995: 599-607.
15. Diggle P, Heagerty P, Liang KY, Zeger S. Analysis of Longitudinal Data. Oxford: Oxford University Press, 2002.