73 research outputs found

    Additional file 1: of Assessing rates and contextual predictors of 5-year mortality among HIV-infected and HIV-uninfected individuals following HIV testing in Durban, South Africa

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    Statistical analysis and supplementary results tables. Variable selection procedure for random forests. Propensity score adjustment procedure. Imputation of CD4 values. Calculated effect of HIV. Table S1A and 1B – HIV-infected (1A) and HIV-uninfected (1B) comparing those with and without valid SA ID numbers. Table S2A and 2B show the standardized difference between the overall group (HIV-infected or HIV-uninfected) and the group with valid SA ID numbers. (DOCX 74 kb

    Longitudinal linear regression<sup>†</sup> weight-for-age z-scores 0–28 weeks.

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    <p>Longitudinal linear regression<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151762#t005fn004" target="_blank"><sup>†</sup></a> weight-for-age z-scores 0–28 weeks.</p

    Proportion of females and males who underwent testing and the HIV prevalence among those tested, by age.

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    <p>The dashed line represents the proportion who underwent HIV testing by age. The solid line is the HIV prevalence among those tested with error bars representing 95% confidence intervals. <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0045507#pone-0045507-g001" target="_blank">Figure 1a</a>–Females. <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0045507#pone-0045507-g001" target="_blank">Figure 1b</a>–Males.</p
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