A Model to Estimate Risk of Infection with Human Herpesvirus 8 Associated with Transfusion from Cross-Sectional Data

Biometrics

Volumn 60, Issue 1, 2004, Pages 249-256

  Pfeiffer, Ruth M ^a   Mbulaiteye, Sam ^a   Engels, Eric ^a  

^a NATIONAL CANCER INSTITUTE   (United States)

Author keywords

Age at transfusion data; Current status data; Mixture models; Multistate models

Indexed keywords

RANDOM PROCESSES; RISK PERCEPTION;

AGE AT TRANSFUSION DATA; BLOOD TRANSFUSION; CROSS-SECTIONAL STUDY; CURRENT-STATUS DATUM; INFECTIOUS DISEASE; MIXTURE MODELING; MULTI-STATE MODEL; PARAMETRIC APPROACH; RANDOM EFFECTS; SICKLE-CELL ANEMIA;

MAXIMUM LIKELIHOOD;

DISEASE TRANSMISSION; INFECTIOUS DISEASE; MAXIMUM LIKELIHOOD ANALYSIS; RISK ASSESSMENT; STATISTICAL ANALYSIS;

AGE; BLOOD TRANSFUSION; CALCULATION; CHILDHOOD DISEASE; CHRONOLOGY; CONTROLLED STUDY; HEALTH STATUS; HUMAN HERPESVIRUS 8; INFECTION RISK; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; PREVALENCE; REVIEW; STANDARD; UGANDA; VIRUS INFECTION; VIRUS TRANSMISSION;

AFRICA; EAST AFRICA; SUB-SAHARAN AFRICA; UGANDA;

DNA VIRUSES; HERPESVIRIDAE; HUMAN HERPESVIRUS 8;

EID: 1642280187     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2004.00168.x     Document Type: Review

References (17)

1. Biggar, R. J., Engels, E. A., Whitby, D., Kedes, D. H., and Goedert, J. J. (2003). Antibody reactivity to latent and lytic antigens to human herpesvirus-8 in longitudinally followed homosexual men. Journal of Infectious Diseases 187, 12-18.
2. Brayfield, B. P., Phiri, S., Kankasa, C., Muyanga, J., Mantina, H., Kwenda, G., West, J. T., Bhat, G., Marx, D. B., Klaskala, W., Mitchell, C. D., and Wood, C. (2003). Postnatal human herpesvirus 8 and human immunodeficiency virus type 1 infection in mothers and infants from Zambia. Journal of Infectious Diseases 187, 559-5681.
3. Commenges, D. (1999). Multi-state models in epidemiology. Lifetime Data Analysis 5, 315-327.
4. Dunson, D. B. and Baird, D. D. (2001). A flexible parametric model for combining current status and age at first diagnosis data. Biometrics 57, 396-403.
5. Gessain, A., Mauclere, P., van Beveren, M., Plancoulaine, S., Ayouba, A., Essame-Oyono, J. L., Martin, P. M. V., and de The, G. (1999). Human herpesvirus 8 primary infection occurs during childhood in Cameroon, Central Africa. International Journal of Cancer 81, 189-192.
6. Kalbfleisch, J. D. and Prentice, R. L. (1980). The Statistical Analysis of Failure Time Data. New York: Wiley, p. 163-178.
7. Mantina, H., Kankasa, C., Klaskala, W., Brayfield, B., Campbell, J., Du, Q. J., Bhat, G., Kasolo, F., Mitchell, C., and Wood, C. (2001). Vertical transmission of Kaposi's sarcoma-associated herpesvirus. International Journal of Cancer 94, 749-752.
8. Mbulaiteye, S. M., Biggar, R. J., Bakaki, P. M., Pfeiffer, R., Whitby, D., Owor, A. M., Katongole-Mbidde, E., Goedert, J. J., Ndugwa, C. M., and Engels, E. A. (2003a). Blood-borne transmission of human herpesvirus 8 in children with sickle cell disease in Uganda. Journal of the National Cancer Institute 95, 1330-1335.
9. Mbulaiteye, S. M., Pfeiffer, R. M., Whitby, D., Brubaker, G. R., Shao, J., and Biggar, R. J. (2003b). Human herpesvirus 8 infection within families in rural Tanzania. Journal of Infectious Diseases 187, 1780-1785.
10. McLachlan, G. J. and Basford, K. E. (1988). Mixture Models: Inference and Applications to Clustering. New York: Marcel Dekker.
11. Pfeiffer, R., Gail, M. H., and Brown, L. (2000). A mixture model for the distribution of IgG antibodies to Helicobacter pylori: Application to studying factors that affect prevalence. Journal of Epidemiology and Biostatistics 5, 267-275.
12. Rhodes, P. H., Halloran, M. E., and Longini, I. M. (1996). Counting process models for infectious disease data: Distinguishing exposure to infection from susceptibility. Journal of the Royal Statistical Society Series B 58, 751-762.
13. Rossini, A. J. and Tsiatis, A. A. (1996). A semiparametric proportional odds regression model for the analysis of current status data. Journal of the American Statistical Association 91, 713-721.
14. Shiboski, S. C. and Jewell, N. P. (1992). Statistical analysis of the time dependence of HIV infectivity based on partner study data. Journal of the American Statistical Association 87, 360-372.
15. Sun, J. G. and Kalbfleisch, J. D. (1993). The analysis of current status data on point processes. Journal of the American Statistical Association 88, 1449-1454.
16. Thompson, T. J., Smith, P. J., and Boyle, J. P. (1998). Finite mixture models with concomitant information: Assessing diagnostic criteria for diabetes. Applied Statistics 47, 393-404.
17. Titterington, D. M., Smith, A. F. M., and Makov, U. E. (1985). Statistical Analysis of Finite Mixture Distributions. New York: Wiley.