Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Wende Clarence Safari"'
Autor:
Kobus Herbst, Dickman Gareta, Wende Clarence Safari, Safiyya Randera-Rees, Alison D. Grant, Kathy Baisley
Publikováno v:
Wellcome Open Research, Vol 6 (2023)
Background: HIV-negative men are over-represented in tuberculosis (TB) prevalence surveys including the first South African national TB prevalence survey in 2018. Traditionally, TB screening is focused in clinics. We aimed to determine the frequency
Externí odkaz:
https://doaj.org/article/4afc0260e64f46249a9d766fb8ba1589
Publikováno v:
Statistical Methods in Medical Research. 31:2164-2188
Cure models are a class of time-to-event models where a proportion of individuals will never experience the event of interest. The lifetimes of these so-called cured individuals are always censored. It is usually assumed that one never knows which ce
Publikováno v:
Lifetime Data Analysis.
Publikováno v:
Biometrical Journal. 63:984-1005
We introduce a nonparametric estimator of the conditional survival function in the mixture cure model for right-censored data when cure status is partially known. The estimator is developed for the setting of a single continuous covariate but it can
Publikováno v:
Biometrical Journal. 63:1544-1546
An error was detected in the derivation of the expression of the cumulative hazard function in a recently published paper by Safari, W. C., Lopez-de-Ullibarri, I., and Jacome, M. A. (2021), A product-limit estimator of the conditional survival functi
Publikováno v:
RUC. Repositorio da Universidade da Coruña
instname
instname
Presented at the 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021. [Abstract] We introduce nonparametric estimators to estimate the conditional survival function, cure probability and latency function in the setting of a mixture cure mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2eaf69de961e3caedf670065dda3c5a
http://hdl.handle.net/2183/29396
http://hdl.handle.net/2183/29396
Autor:
Leacky Muchene, Wende Clarence Safari
Publikováno v:
PLoS ONE, Vol 16, Iss 1, p e0243208 (2021)
PLoS ONE
PLoS ONE
Unsupervised statistical analysis of unstructured data has gained wide acceptance especially in natural language processing and text mining domains. Topic modelling with Latent Dirichlet Allocation is one such statistical tool that has been successfu
Autor:
Wende Clarence Safari
Publikováno v:
Wende Clarence Safari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::091618890f8d19f86a72ab0f8aef3ece
http://ibssusan2019.samrc.ac.za/
http://ibssusan2019.samrc.ac.za/