w Johnson WO, Gastwirth JL, Pearson LM
(2001). Screening without a gold standard: the Hui-Walter paradigm revisited.
Am J Epidemiol; 153: 921-924.
w Gardner, I.A (2002). The utility of Bayes' theorem and Bayesian inference in veterinary clinical practice and research. Australian Veterinary Journal 80:758-761.
w Georgiadis, M.P., W.O. Johnson, I.A. Gardner, R. Singh (2003). Correlation-adjusted Estimation of Sensitivity and Specificity of Two Diagnostic Tests, Applied Statistics, 52, pp. 63-76. See associated WinBUGS software and application module.
w Hanson, T.E, W.O. Johnson, and I.A. Gardner (2003). Hierarchical models for estimating herd prevalence and test accuracy in the absence of a gold-standard. Journal of Agricultural, Biological, and Environmental Statistics 8:223-239.
w Hanson, T.E.,
W.O Johnson, I.A. Gardner, and M.P. Georgiadis (2003). Determining the
infection status of a herd. Journal of Agricultural, Biological, and Environmental
w McInturff, P.S., W.O. Johnson, D. Cowling, and I.A. Gardner (2004). Modeling Risk When Binary Outcomes Are Subject to Error, Statistics in Medicine, 23:1095-1109. See associated WinBUGS software and application module.
w Gardner, I A, An epidemiologic critique of current microbial risk assessment practices: the importance of prevalence and test accuracy data. Journal of Food Protection 67:2000-2007.
w Su, C-L, I A Gardner and W O Johnson. Diagnostic test accuracy and prevalence inferences based on joint and sequential testing with finite population sampling. Statistics in Medicine 23:2237-2255.
w Branscum, AJ, I A Gardner and W O Johnson. Bayesian modeling of animal- and herd-level prevalences. Preventive Veterinary Medicine 66:101-112.