A Model to Estimate Risk of Infection with Human Herpesvirus 8 Associated with Transfusion from Cross-Sectional Data
Article first published online: 11 MAR 2004
Volume 60, Issue 1, pages 249–256, March 2004
How to Cite
Pfeiffer, R. M., Mbulaiteye, S. and Engels, E. (2004), A Model to Estimate Risk of Infection with Human Herpesvirus 8 Associated with Transfusion from Cross-Sectional Data. Biometrics, 60: 249–256. doi: 10.1111/j.0006-341X.2004.00168.x
- Issue published online: 11 MAR 2004
- Article first published online: 11 MAR 2004
- Received January 2003. Revised July 2003. Accepted September 2003.
- Age at transfusion data;
- Current-status data;
- Mixture models;
- Multistate models
Summary. In cross-sectional studies of infectious diseases, the data typically consist of: age at the time of study, status (presence or absence) of infection, and a chronology of events possibly associated with the disease. Motivated by a study of how human herpesvirus 8 (HHV-8) is transmitted among children with sickle cell anemia in Uganda, we have developed a flexible parametric approach for combining current-status data with a history of blood transfusions. We model heterogeneity in transfusion-associated risk by a child-specific random effect. We present an extension of the model to accommodate the fact that there is no gold standard for HHV-8 infection and infection status was assessed by a serological assay. The parameters are estimated via maximum likelihood. Finally, we present results from applying various parameterizations of the model to the Ugandan study.