Multilevel ordinal model for CD4 count trends in seroconversion among South Africa women.
Zelalem G DessieTemesgen ZewotirHenry MwambiDelia NorthPublished in: BMC infectious diseases (2020)
It can be concluded that the multilevel non-proportional-odds method provides a flexible modeling alternative when the proportional-odds assumption of equal effects of the predictor variables at every stage of the response variable is violated. Having higher clinical parameter scores, higher QoL scores, higher educational levels, and stable sexual partners were found to be the significant factors for trends of CD4 count recovery.