Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/5144
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dc.contributor.authorMbona, Sizwe Vincenten_US
dc.contributor.authorMwambi, Henryen_US
dc.contributor.authorRamroop, Shaunen_US
dc.date.accessioned2024-02-15T08:52:55Z-
dc.date.available2024-02-15T08:52:55Z-
dc.date.issued2023-09-25-
dc.identifier.citationMbona, S.V., Mwambi, H. and Ramroop, S. 2023. The importance of the frailty effect in survival models: for multidrug-resistant tuberculosis data. The Open Public Health Journal. 16(1). doi:10.2174/18749445-v16-230912-2023-76en_US
dc.identifier.issn1874-9445-
dc.identifier.issn1874-9445 (Online)-
dc.identifier.urihttps://hdl.handle.net/10321/5144-
dc.description.abstractFrailty models have been proposed to analyse survival data, considering unobserved covariates (frailty effects). In a shared frailty model, frailties are common (or shared) amongst groups of individuals and are randomly distributed across groups.</jats:p> <jats:title>Objective:</jats:title> <jats:p>In this paper, the authors compared the semi-parametric model to shared frailty models by studying the time-to-death of patients with multidrug-resistant tuberculosis (MDR-TB).</jats:p> </jats:sec> <jats:sec> <jats:title>Methods:</jats:title> <jats:p>Secondary data from 1 542 multidrug-resistant tuberculosis patients were used in this study. STATA software was used to analyse frailty models via the <jats:italic>streg</jats:italic> command.</jats:p> </jats:sec> <jats:sec> <jats:title>Results:</jats:title> <jats:p>Of 1 542 patients diagnosed with MDR-TB, 245 (15.9%) died during the study period; 77 (5.0%) had treatment failure; 334 (21.7%) defaulted; 213 (13.8%) completed treatment; 651 (42.2%) were cured of MRD-TB; and 22 (1.4%) were transferred out. The results showed that 797 (51.7%) were females, and the majority were aged 18 – 30 and 31 – 40 years (35.5% and 35.7% respectively). Most of the patients (71.3%) were HIV-positive. The results also showed that most patients (95.7%) had no previous MDR-TB episodes, and 792 (51.4%) had no co-morbidities. The estimate of the variance for the frailty term in the Weibull gamma shared frailty model was 2.83, which is relatively large and therefore suggests the existence of heterogeneity.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusion:</jats:title> <jats:p>The Laplace transform of the frailty distribution plays a central role in relating the hazards, conditional on the frailty, to the hazards and survival functions observed in a population.</jats:p> </jats:sec>en_US
dc.format.extent8 pen_US
dc.language.isoenen_US
dc.publisherBentham Science Publishers Ltd.en_US
dc.relation.ispartofThe Open Public Health Journal; Vol. 16, Issue 1en_US
dc.subjectFrailtyen_US
dc.subjectHazardsen_US
dc.subjectMDR-TBen_US
dc.subjectRisk factorsen_US
dc.subjectSurvival dataen_US
dc.titleThe importance of the frailty effect in survival models : for multidrug-resistant tuberculosis dataen_US
dc.typeArticleen_US
dc.date.updated2024-02-09T09:54:39Z-
dc.identifier.doi10.2174/18749445-v16-230912-2023-76-
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item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.fulltextWith Fulltext-
item.grantfulltextopen-
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