Validating Marker-Based Incidence Estimates in Repeatedly Screened Populations
Article first published online: 25 MAY 2004
Volume 55, Issue 4, pages 1224–1227, December 1999
How to Cite
Satten , G. A., Janssen, R., Busch, M. P. and Datta, S. (1999), Validating Marker-Based Incidence Estimates in Repeatedly Screened Populations. Biometrics, 55: 1224–1227. doi: 10.1111/j.0006-341X.1999.01224.x
- Issue published online: 25 MAY 2004
- Article first published online: 25 MAY 2004
- Received August 1998. Received January 1999. Accepted May 1999.
- Blood donors;
- Cross-sectional survey;
- Human immunodeficiency virus (HIV);
- Longitudinal data
Summary. Disease incidence (new cases of disease per person per year) is usually measured by using longitudinal data. However, several recent proposals for measuring the incidence of human immunodeficiency virus (HIV) rely on cross-sectional data only. These methods assume each person is only sampled once; however, in some instances, it is necessary to consider these cross-sectional methods when individuals are represented more than once in the survey sample. We derive an extension of the cross-sectional incidence estimator that is valid for data from repeatedly screened populations and show under what conditions our new estimator reduces to the old estimator. An example involving estimation of HIV incidence among repeat blood donors is presented.