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Items: 1 to 20 of 123

1.

On the use of adjusted cross-sectional estimators of HIV incidence.

Wang R, Lagakos SW.

J Acquir Immune Defic Syndr. 2009 Dec;52(5):538-47. doi: 10.1097/QAI.0b013e3181c080a7.

2.

A comparison of biomarker based incidence estimators.

McWalter TA, Welte A.

PLoS One. 2009 Oct 7;4(10):e7368. doi: 10.1371/journal.pone.0007368.

3.

Augmented cross-sectional studies with abbreviated follow-up for estimating HIV incidence.

Claggett B, Lagakos SW, Wang R.

Biometrics. 2012 Mar;68(1):62-74. doi: 10.1111/j.1541-0420.2011.01632.x. Epub 2011 Jun 13.

4.

New testing strategy to detect early HIV-1 infection for use in incidence estimates and for clinical and prevention purposes.

Janssen RS, Satten GA, Stramer SL, Rawal BD, O'Brien TR, Weiblen BJ, Hecht FM, Jack N, Cleghorn FR, Kahn JO, Chesney MA, Busch MP.

JAMA. 1998 Jul 1;280(1):42-8. Erratum in: JAMA 1999 May 26;281(20):1893.

PMID:
9660362
5.

A new general biomarker-based incidence estimator.

Kassanjee R, McWalter TA, Bärnighausen T, Welte A.

Epidemiology. 2012 Sep;23(5):721-8. doi: 10.1097/EDE.0b013e3182576c07.

6.

Should biomarker estimates of HIV incidence be adjusted?

Brookmeyer R.

AIDS. 2009 Feb 20;23(4):485-91. doi: 10.1097/QAD.0b013e3283269e28.

PMID:
19165087
7.

Augmented cross-sectional prevalence testing for estimating HIV incidence.

Wang R, Lagakos SW.

Biometrics. 2010 Sep;66(3):864-74. doi: 10.1111/j.1541-0420.2009.01356.x.

8.

Use of the sensitive/less-sensitive (detuned) EIA strategy for targeting genetic analysis of HIV-1 to recently infected blood donors.

Machado DM, Delwart EL, Diaz RS, de Oliveira CF, Alves K, Rawal BD, Sullivan M, Gwinn M, Clark KA, Busch MP.

AIDS. 2002 Jan 4;16(1):113-9.

PMID:
11741169
9.

Maximum-likelihood estimation of relatedness.

Milligan BG.

Genetics. 2003 Mar;163(3):1153-67.

10.

Parametric likelihood inference for interval censored competing risks data.

Hudgens MG, Li C, Fine JP.

Biometrics. 2014 Mar;70(1):1-9. doi: 10.1111/biom.12109. Epub 2014 Jan 8.

11.
12.

Direct and indirect estimates of HIV-1 incidence in a high-prevalence population.

Cleghorn FR, Jack N, Murphy JR, Edwards J, Mahabir B, Paul R, O'Brien T, Greenberg M, Weinhold K, Bartholomew C, Brookmeyer R, Blattner WA.

Am J Epidemiol. 1998 May 1;147(9):834-9.

PMID:
9583713
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17.

HIV incidence in rural South Africa: comparison of estimates from longitudinal surveillance and cross-sectional cBED assay testing.

Bärnighausen T, Wallrauch C, Welte A, McWalter TA, Mbizana N, Viljoen J, Graham N, Tanser F, Puren A, Newell ML.

PLoS One. 2008;3(11):e3640. doi: 10.1371/journal.pone.0003640. Epub 2008 Nov 4.

18.

Rapid testing strategies for HIV-1 serodiagnosis in high-prevalence African settings.

Wright RJ, Stringer JS.

Am J Prev Med. 2004 Jul;27(1):42-8.

PMID:
15212774
19.

Cross-sectional HIV incidence estimation in HIV prevention research.

Brookmeyer R, Laeyendecker O, Donnell D, Eshleman SH.

J Acquir Immune Defic Syndr. 2013 Jul;63 Suppl 2:S233-9. doi: 10.1097/QAI.0b013e3182986fdf.

20.

A simpler tool for estimation of HIV incidence from cross-sectional, age-specific prevalence data.

Rajan SS, Sokal D.

J Epidemiol Community Health. 2011 Feb;65(2):111-5. doi: 10.1136/jech.2009.091959. Epub 2010 Jun 16.

PMID:
20558420

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