How Should We Best Estimate the Mean Recency Duration for the BED Method?

PLoS ONE

Volumn 7, Issue 11, 2012, Pages

  Hargrove, John ^a   Eastwood, Hayden ^a   Mahiane, Guy ^a   van Schalkwyk, Cari ^a  

^a STELLENBOSCH UNIVERSITY   (South Africa)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BED ASSAY; ENZYME IMMUNOASSAY; FEMALE; FOLLOW UP; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INCIDENCE; MAJOR CLINICAL STUDY; OPTICAL DENSITY; OUTCOME ASSESSMENT; PUERPERIUM; SEROCONVERSION; STATISTICAL ANALYSIS; STATISTICAL MODEL; SURVIVAL; ZIMBABWE;

CROSS-SECTIONAL STUDIES; FEMALE; FOLLOW-UP STUDIES; HIV INFECTIONS; HIV SEROPOSITIVITY; HIV-1; HUMANS; IMMUNOENZYME TECHNIQUES; INCIDENCE; MODELS, STATISTICAL; TIME FACTORS; ZIMBABWE;

EID: 84869208732     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0049661     Document Type: Article

References (12)

1. Parekh BS, Kennedy MS, Dobbs T, Pau CP, Byers R, et al. (2002) Quantitative detection of increasing HIV type 1 antibodies after seroconversion: a simple assay for detecting recent HIV infection and estimating incidence. AIDS Res Hum Retroviruses 18: 295-307.
2. Hargrove JW, Humphrey JH, Mutasa K, Parekh BS, McDougal JS, et al. (2008) Improved HIV-1 incidence estimates using the BED capture enzyme immunoassay. AIDS 22: 511-518.
3. Brookmeyer R, (2009) Should biomarker estimates of HIV incidence be adjusted? AIDS 23: 485-491.
4. Brookmeyer R, (2009) Response to correspondence on 'Should biomarker estimates of HIV incidence be adjusted. AIDS 23: 2066-2068.
5. Hargrove J, van Schalkwyk C, Eastwood H, (2012) BED Estimates of HIV Incidence: Resolving the Differences, Making Things Simpler. PLoS One 7: e29736.
6. Kassanjee R, McWalter TA, Bärnighausen T, Welte A, (2012) A New General Biomarker-Based Incidence Estimator. Epidemiology 23: 721-728.
7. Humphrey JH, Iliff PJ, Marinda ET, Mutasa K, Moulton LH, et al. (2006) Effects of a single large dose of vitamin A, given during the postpartum period to HIV-positive women and their infants, on child HIV infection, HIV-free survival, and mortality. J Infect Dis 193: 860-871.
8. Humphrey JH, Hargrove JW, Malaba LC, Iliff PJ, Moulton LH, et al. (2006) HIV incidence among post-partum women in Zimbabwe: risk factors and the effect of vitamin A supplementation. AIDS 20: 1437-1446.
9. Turnbull BW, (1976) The Empirical Distribution Function with Arbitrarily Grouped, Censored and Truncated Data. Journal of the Royal Statistical Society Series B (Methodological) 38: 290-295.
10. Sweeting MJ, De Angelis D, Parry J, Suligoi B, (2010) Estimating the distribution of the window period for recent HIV infections: a comparison of statistical methods. Stat Med 29: 3194-3202.
11. Team RDC (2011) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria ISBN 3-900051-07-0.
12. Lunn DJ, Thomas A, Best N, Spiegelhalter D, (2000) WinBUGS - a Bayesian modelling framework: concepts, structure, and extensibility. Statistics and Computing 10: 325-337.