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Principal Ndlovu

Researcher at University of South Africa

Publications -  13
Citations -  118

Principal Ndlovu is an academic researcher from University of South Africa. The author has contributed to research in topics: Optimal design & Empowerment. The author has an hindex of 6, co-authored 12 publications receiving 90 citations.

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Joint longitudinal data analysis in detecting determinants of CD4 cell count change and adherence to highly active antiretroviral therapy at Felege Hiwot Teaching and Specialized Hospital, North-west Ethiopia (Amhara Region).

TL;DR: Joint model analysis was more parsimonious as compared to separate analysis, as it reduces type I error and subject-specific analysis improved its model fit, and the observed correlation between the outcomes that have emerged from the association of intercepts is validated.
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Quasi-Poisson versus negative binomial regression models in identifying factors affecting initial CD4 cell count change due to antiretroviral therapy administered to HIV-positive adults in North–West Ethiopia (Amhara region)

TL;DR: Adherence to antiretroviral therapy, initial CD4 cell count, household income, WHO stages, age, weight and owner of cell phone played a major role for the variation of CD 4 cell count in the authors' data.
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Community-perceived state of women empowerment in some rural areas of Limpopo Province South Africa

TL;DR: In this article, the perceived state of women empowerment in some rural areas of Makhado Municipality in South Africa was investigated, where a total of 5 924 people comprising children, youth, women, men and local leaders voluntarily participated in the study.
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Factors affecting first month adherence due to antiretroviral therapy among HIV-positive adults at Felege Hiwot Teaching and Specialized Hospital, north-western Ethiopia; a prospective study

TL;DR: Certain groups of patients who are at higher risk and who need counseling should be targeted and tailored for improvement of adherence to HAART among HIV positive adults.
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The analytic construction of D-optimal designs for the two-variable binary logistic regression model without interaction

TL;DR: In this article, Lopez-Fidalgo et al. proved algebraically the global D-optimality of the 3-point design for the special case in which the intercept parameter is equal to −1.5434.