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Capacity to estimate and detect a 35% reduction in HIV incidence in the Southern African communities of Project Accept using the BED-CEIA alone, the avidity assay alone, and two multi-assay algorithms (MAAs)*.

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Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Capacity_to_estimate_and_detect_a_35_reduction_in_HIV_incidence_in_the_Southern_African_communities_of_Project_Accept_using_the_BED_CEIA_alone_the_avidity_assay_alone_and_two_multi_assay_algorithms_MAAs_/848635
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*BED-CEIA: BED capture immunoassay (results expressed as normalized optical density units); AI: avidity assay (results expressed as a percentage, avidity index); CD4: CD4 cell count (results expressed as cells/mm3); VL: viral load (results expressed as HIV RNA copies/mL); Std: standard; RR: relative risk.The table shows the mean estimated intervention effect, empirical standard error of log estimated intervention effect, the power to detect the 35% difference in incidence, and the coverage of the 95% confidence intervals obtained by a simulation study under the stable epidemic scenario. The lower two rows show results for MAAs (see text); for these MAAs, individuals are classified as MAA positive if they have results for all for assays that are below/above the cutoffs indicated.
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2015-12-02
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