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- W4313003973 abstract "AbstractLatent class mixed models are used to identify families of trajectories for antiretroviral treatment adherence profiles of people with HIV. The demographic characteristics associated with these adherence classes could help pinpoint patients more likely to show decreasing adherence profiles. Additionally, within each of the adherence groups, a further latent class analysis with a bivariate response is used to characterize the joint behavior of CD4-CD8 ratio and CD4+T. These could lead to a better understanding of how different profiles of the outcome could be linked to different adherence trajectories. This is of interest since low CD4-CD8 ratios have been associated with increased risks both for developing AIDS and death.KeywordsAntiretroviral treatment adherenceClassificationLatent class mixture models" @default.
- W4313003973 created "2023-01-05" @default.
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- W4313003973 date "2022-01-01" @default.
- W4313003973 modified "2023-10-02" @default.
- W4313003973 title "Characterizing Groups Using Latent Class Mixed Models: Antiretroviral Treatment Adherence Analysis" @default.
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- W4313003973 doi "https://doi.org/10.1007/978-3-031-12778-6_6" @default.
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