Augmented Cross-Sectional Studies with Abbreviated Follow-up for Estimating HIV Incidence

Biometrics

Volumn 68, Issue 1, 2012, Pages 62-74

  Claggett, B ^a   Lagakos, S W ^a   Wang, R ^a  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Augmented; Cross sectional studies; False negative; Incidence estimators

Indexed keywords

AUGMENTED; COHORT STUDIES; CROSS-SECTIONAL DESIGN; CROSS-SECTIONAL STUDY; CROSS-SECTIONAL SURVEYS; FALSE NEGATIVE RATE; FALSE NEGATIVES; FOLLOW UP; INCIDENCE ESTIMATOR; UP-TIME;

BIOMETRICS;

COMPARATIVE STUDY; DISEASE INCIDENCE; HUMAN IMMUNODEFICIENCY VIRUS; SUBPOPULATION; UNCERTAINTY ANALYSIS;

HUMAN IMMUNODEFICIENCY VIRUS;

EID: 84858861565     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2011.01632.x     Document Type: Article

References (13)

1. Balasubramanian, R. and Lagakos, S. W. (2010). Estimating HIV incidence based on combined prevalence testing. Biometrics 66, 1-10.
2. Brookmeyer, R. (2009). Should biomarker estimates of HIV incidence be adjusted?. AIDS 23, 485-491.
3. Brookmeyer, R. and Quinn, T. C. (1995). Estimation of current human immunodeficiency virus incidence rates from a cross-sectional survey using early diagnostic tests. American Journal of Epidemiology 141, 166-172.
4. Hargrove, J. W., Humphrey, J. H., Mutasa, K., Parekh, B. S., McDougal, J. S., Ntozinie, R., Chidawaniyika, H., Moulton, L. H., Ward, B., Nathoo, K., Iliff, P. J., and Kopp, E. (2008). Improved HIV-1 incidence estimates using the BED capture enzyme immunoassay. AIDS 22, 511-518.
5. Janssen, R. S., Satten, G. A., Stramer, S. L., Rawal, B. D., O'Brien, T. R., Weiblen, B. J., Hecht, F. M., Jack, N., Cleghorn, J., Kahn, J. O., Chesney, M. A., and Busch, M. P. (1998). New testing strategy to detect early HIV-1 infection for use in incidence estimates and for clinical and prevention purposes. Journal of the American Medical Association 280, 42-48.
6. Marinda, E. T., Hargrove, J., Preiser, W., Slabbert, H., van Zyl, G., Levin, J., Moulton, L., Welte, A., and Humphrey, J. (2010). Significantly diminished long-term specificity of the BED capture enzyme immunoassay among patients with HIV-1 with very low CD4 counts and those on antiretroviral therapy. JAIDS 53, 496-499.
7. McDougal, J. S., Parekh, B. S., Peterson, M. L., Branson, B. M., Dobbs, T., Ackers, M., and Gurwith, M. (2006). Comparison of HIV type I incidence observed during longitudinal follow-up with incidence estimated by cross-sectional analysis using the BED capture enzyme immunoassay. AIDS Research and Human Retroviruses 22, 945-952.
8. Parekh, B. S., Kennedy, M. S., Dobbs, T., Pau, C., Byers, R., Green, T., Hu, D. J., Vanichseni, S., Young, N. L., Choopanya, K., Mastro, T. D., and McDougal, S. (2002). Quantitative detection of increasing HIV type 1 antibodies after seroconversion: A simple assay for detecting recent HIV infection and estimating incidence. AIDS Research and Human Retroviruses 18, 295-307.
9. Sakarovitch, C., Rouet, F., Murphy, G., Minga, A. K., Alioum, A., Dabis, F., Costagliola, D., Salamon, R., Parry, J. V., and Barin, F. (2007). Do tests devised to detect recent HIV-1 infection provide reliable estimates of incidence in Africa?. Journal of Acquired Immune Deficiency Syndrome 45, 115-122.
10. Wang, R. and Lagakos, S. W. (2009). On the use of adjusted cross-sectional estimators of HIV incidence. The Journal of Acquired Immune Deficiency Syndromes (JAIDS) 52, 538-547.
11. Wang, R. and Lagakos, S. W. (2010). Augmented cross-sectional prevalence testing for estimating HIV incidence. Biometrics 66, 864-874.
12. Welte, A., McWalter, T. A., and Bärnighausen, T. (2009). A simplified formula for inferring HIV incidence from cross-sectional surveys using a test for recent infection. AIDS Research and Human Retroviruses 25, 125-126.
13. Woolf, B. (1955). On estimating the relation between blood group and disease. Annals of Human Genetics 19, 251-253.