JSM 2004 - Toronto

Abstract #300390

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Activity Number: 87
Type: Contributed
Date/Time: Monday, August 9, 2004 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #300390
Title: A Model to Estimate Risk of Infection with Human Herpesvirus 8 Associated with Transfusion from Cross-sectional Data
Author(s): Ruth M. Pfeiffer*+
Companies: National Cancer Institute
Address: 6120 Executive Blvd , Rockville, MD, 20852,
Keywords: current status data ; mixture models ; multistate models
Abstract:

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, I have developed a flexible parametric approach for combining current-status data with a history of blood transfusions. I model heterogeneity in transfusion-associated risk by a child-specific random effect. I 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, I present results from applying various parameterizations of the model to the Ugandan study.

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