Multilevel ordinal model for CD4 count trends in seroconversion among South Africa women.

ABSTRACT:

Background

Ordinal health longitudinal response variables have distributions that make them unsuitable for many popular statistical models that assume normality. We present a multilevel growth model that may be more suitable for medical ordinal longitudinal outcomes than are statistical models that assume normality and continuous measurements.

Methods

The data is from an ongoing prospective cohort study conducted amongst adult women who are HIV-infected patients in Kwazulu-Natal, South Africa. Participants were enrolled into the acute infection, then into early infection subsequently into established infection and afterward on cART. Generalized linear multilevel models were applied.

Results

Multilevel ordinal non-proportional and proportional-odds growth models were p

SUBMITTER: Dessie ZG 

PROVIDER: S-EPMC7310392 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature