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Jacob Konikoff

Showing results (1-10 of 10) with videos related to

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Biometrics|August 25, 2015
Sample size methods for estimating HIV incidence from cross-sectional surveysJacob Konikoff, Ron Brookmeyer
Statistical Communications in Infectious Diseases|February 1, 2019
Cross-Sectional HIV Incidence Estimation with Missing BiomarkersDoug Morrison, Oliver Laeyendecker, Jacob Konikoff, et al.
American Journal of Epidemiology|January 11, 2013
Estimation of HIV incidence using multiple biomarkersRon Brookmeyer, Jacob Konikoff, Oliver Laeyendecker, et al.
Journal of Global Health|May 28, 2019
Projecting the lives saved by continuing the historical scale-up of child and maternal health interventions in Mozambique until 2030José Maiane Júnior, Réka Maulide Cane, Maria Patrícia Gonçalves, et al.
AIDS Research and Human Retroviruses|March 21, 2017
Short Communication: Comparison of Maxim and Sedia Limiting Antigen Assay Performance for Measuring HIV IncidenceKatherine E Schlusser, Jacob Konikoff, Allison R Kirkpatrick, et al.
Journal of the International AIDS Society|March 1, 2018
Identification and validation of a multi-assay algorithm for cross-sectional HIV incidence estimation in populations with subtype C infectionOliver Laeyendecker, Jacob Konikoff, Douglas E Morrison, et al.
The Journal of Infectious Diseases|November 7, 2012
HIV incidence determination in the United States: a multiassay approachOliver Laeyendecker, Ron Brookmeyer, Matthew M Cousins, et al.
Journal of Clinical Microbiology|October 25, 2013
HIV diversity as a biomarker for HIV incidence estimation: including a high-resolution melting diversity assay in a multiassay algorithmMatthew M Cousins, Jacob Konikoff, Oliver Laeyendecker, et al.
Plos One|January 4, 2014
Performance of a limiting-antigen avidity enzyme immunoassay for cross-sectional estimation of HIV incidence in the United StatesJacob Konikoff, Ron Brookmeyer, Andrew F Longosz, et al.
Plos One|June 27, 2014
A comparison of two measures of HIV diversity in multi-assay algorithms for HIV incidence estimationMatthew M Cousins, Jacob Konikoff, Devin Sabin, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Biometrics|August 25, 2015
Sample size methods for estimating HIV incidence from cross-sectional surveysJacob Konikoff, Ron Brookmeyer
Statistical Communications in Infectious Diseases|February 1, 2019
Cross-Sectional HIV Incidence Estimation with Missing BiomarkersDoug Morrison, Oliver Laeyendecker, Jacob Konikoff, et al.
American Journal of Epidemiology|January 11, 2013
Estimation of HIV incidence using multiple biomarkersRon Brookmeyer, Jacob Konikoff, Oliver Laeyendecker, et al.
Journal of Global Health|May 28, 2019
Projecting the lives saved by continuing the historical scale-up of child and maternal health interventions in Mozambique until 2030José Maiane Júnior, Réka Maulide Cane, Maria Patrícia Gonçalves, et al.
AIDS Research and Human Retroviruses|March 21, 2017
Short Communication: Comparison of Maxim and Sedia Limiting Antigen Assay Performance for Measuring HIV IncidenceKatherine E Schlusser, Jacob Konikoff, Allison R Kirkpatrick, et al.
Journal of the International AIDS Society|March 1, 2018
Identification and validation of a multi-assay algorithm for cross-sectional HIV incidence estimation in populations with subtype C infectionOliver Laeyendecker, Jacob Konikoff, Douglas E Morrison, et al.
The Journal of Infectious Diseases|November 7, 2012
HIV incidence determination in the United States: a multiassay approachOliver Laeyendecker, Ron Brookmeyer, Matthew M Cousins, et al.
Journal of Clinical Microbiology|October 25, 2013
HIV diversity as a biomarker for HIV incidence estimation: including a high-resolution melting diversity assay in a multiassay algorithmMatthew M Cousins, Jacob Konikoff, Oliver Laeyendecker, et al.
Plos One|January 4, 2014
Performance of a limiting-antigen avidity enzyme immunoassay for cross-sectional estimation of HIV incidence in the United StatesJacob Konikoff, Ron Brookmeyer, Andrew F Longosz, et al.
Plos One|June 27, 2014
A comparison of two measures of HIV diversity in multi-assay algorithms for HIV incidence estimationMatthew M Cousins, Jacob Konikoff, Devin Sabin, et al.
Pageof 1