Indices to Measure Risk of HIV Acquisition in Rakai, Uganda
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Date
2014
Authors
Kagaayi, Joseph
Gray, Ronald H.
Whalen, Christopher
Fu, Pingfu
Neuhauser, Duncan
McGrath, Janet W.
Sewankambo, Nelson K.
Serwadda, David
Kigozi, Godfrey
Nalugoda, Fred
Journal Title
Journal ISSN
Volume Title
Publisher
PLoS ONE
Abstract
Targeting 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.
Description
Keywords
Measure, HIV Acquisition, Uganda
Citation
Kagaayi 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.0092015