Indices to Measure Risk of HIV Acquisition in Rakai, Uganda

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dc.contributor.authorKagaayi, Joseph
dc.contributor.authorGray, Ronald H.
dc.contributor.authorWhalen, Christopher
dc.contributor.authorFu, Pingfu
dc.contributor.authorNeuhauser, Duncan
dc.contributor.authorMcGrath, Janet W.
dc.contributor.authorSewankambo, Nelson K.
dc.contributor.authorSerwadda, David
dc.contributor.authorKigozi, Godfrey
dc.contributor.authorNalugoda, Fred
dc.contributor.authorReynolds, Steven J.
dc.contributor.authorWawer, Maria J.
dc.contributor.authorSinger, Mendel E.
dc.date.accessioned2022-01-24T22:30:50Z
dc.date.available2022-01-24T22:30:50Z
dc.date.issued2014
dc.description.abstractTargeting most-at-risk individuals with HIV preventive interventions is cost-effective. We developed gender specific indices to measure risk of HIV among sexually active individuals in Rakai, Uganda. Methods: We used multivariable Cox proportional hazards models to estimate time-to-HIV infection associated with candidate predictors. Reduced models were determined using backward selection procedures with Akaike’s information criterion (AIC) as the stopping rule. Model discrimination was determined using Harrell’s concordance index (c index). Model calibration was determined graphically. Nomograms were used to present the final prediction models.en_US
dc.identifier.citationKagaayi J, Gray RH, Whalen C, Fu P, Neuhauser D, et al. (2014) Indices to Measure Risk of HIV Acquisition in Rakai, Uganda. PLoS ONE 9(4): e92015. doi:10.1371/journal.pone.0092015en_US
dc.identifier.other10.1371/journal.pone.0092015
dc.identifier.urihttps://nru.uncst.go.ug/xmlui/handle/123456789/1539
dc.language.isoenen_US
dc.publisherPLoS ONEen_US
dc.subjectMeasureen_US
dc.subjectHIV Acquisitionen_US
dc.subjectUgandaen_US
dc.titleIndices to Measure Risk of HIV Acquisition in Rakai, Ugandaen_US
dc.typeArticleen_US
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