Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nobuhle Nokubonga Mchunu"'
Autor:
Alfred Musekiwa, Patricia Silinda, Assanatou Bamogo, Halima S. Twabi, Mohanad Mohammed, Jesca Mercy Batidzirai, Zvifadzo Matsena Zingoni, Geoffrey Chiyuzga Singini, Maureen Moyo, Nobuhle Nokubonga Mchunu, Theodora Ijeoma Ekwomadu, Portia Nevhungoni, Innocent Maposa
Publikováno v:
BMC Public Health, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background HIV/AIDS remains a major public health problem globally. The majority of people living with HIV are from Sub-Saharan Africa, particularly adolescent girls and young women (AGYW) aged 15-24 years. HIV testing is crucial as it is th
Externí odkaz:
https://doaj.org/article/6e6b6e9ea8ac430ea41df18a49a09723
Autor:
Nobuhle Nokubonga Mchunu, Henry Mwambi, Dimitris Rizopoulos, Tarylee Reddy, Nonhlanhla Yende-Zuma
Publikováno v:
BMC Medical Research Methodology, 22(1):295. BioMed Central Ltd.
Background The association structure linking the longitudinal and survival sub-models is of fundamental importance in the joint modeling framework and the choice of this structure should be made based on the clinical background of the study. However,
Autor:
Samkelisiwe Ngcobo, Sinaye Ngcapu, Natasha Samsunder, Jo-Ann S. Passmore, John H. Adamson, Lyle R. McKinnon, Mthobisi M Zondi, Lenine J. P. Liebenberg, Alasdair Leslie, Amanda Mabhula, Salim S. Abdool Karim, Quarraisha Abdool Karim, Nobuhle Nokubonga Mchunu, Katya Govender, Aida Sivro, Refilwe P Molatlhegi
Publikováno v:
American Journal of Reproductive Immunology.
PROBLEM Injectable hormonal contraceptives (IHC) have been associated with altered mucosal and systemic milieu which might increase HIV risk, but most studies have focused on DMPA and not NET-EN, despite the growing popularity and lower HIV risk asso
Autor:
Nobuhle Nokubonga Mchunu, Kogieleum Naidoo, Henry Mwambi, Tarylee Reddy, Nonhlanhla Yende-Zuma
Publikováno v:
BMC Infectious Diseases, Vol 20, Iss 1, Pp 1-9 (2020)
BMC Infectious Diseases
BMC Infectious Diseases
Background Modelling of longitudinal biomarkers and time-to-event data are important to monitor disease progression. However, these two variables are traditionally analyzed separately or time-varying Cox models are used. The former strategy fails to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1942ae84d1577cae096755622d0da9c
https://doi.org/10.21203/rs.2.19995/v1
https://doi.org/10.21203/rs.2.19995/v1