Bayesian Estimation of the Time-Varying Sensitivity of a Diagnostic Test with Application to Mother-to-Child Transmission of HIV
Article first published online: 2 MAR 2010
© 2010, The International Biometric Society
Volume 66, Issue 4, pages 1266–1274, December 2010
How to Cite
Brown, E. R. (2010), Bayesian Estimation of the Time-Varying Sensitivity of a Diagnostic Test with Application to Mother-to-Child Transmission of HIV. Biometrics, 66: 1266–1274. doi: 10.1111/j.1541-0420.2010.01398.x
- Issue published online: 2 MAR 2010
- Article first published online: 2 MAR 2010
- Received January 2009. Revised December 2009. Accepted December 2009.
- Bayesian models;
- Mother-to-child transmission of HIV;
- Time-varying sensitivity
Summary We present a Bayesian model to estimate the time-varying sensitivity of a diagnostic assay when the assay is given repeatedly over time, disease status is changing, and the gold standard is only partially observed. The model relies on parametric assumptions for the distribution of the latent time of disease onset and the time-varying sensitivity. Additionally, we illustrate the incorporation of historical data for constructing prior distributions. We apply the new methods to data collected in a study of mother-to-child transmission of HIV and include a covariate for sensitivity to assess whether two different assays have different sensitivity profiles.