Survival Analysis Among Tuberculosis Patients: A Case Study of Adults in Kano State in Nigeria

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dc.contributor.authorAdamu, I.
dc.date.accessioned2024-02-14T13:26:12Z
dc.date.available2024-02-14T13:26:12Z
dc.date.issued2022-05
dc.descriptionMPhil. Actuarial Scienceen_US
dc.description.abstractTuberculosis (TB) is an infectious disease that has been considered as a signi_- cant risk factor that causes ill health. Globally, it has been found to be among the top 10 causes of death and ranks above HIV/AIDS as a single infectious agent that causes death in patient. Many researches have been documented using semiparametric and non-parametric models to analyze survival data in Nigeria. There is dearth of studies on the use of parametric models on tuberculosis survival data. Parametric models such as Weibull, Exponential, Log-logistic, Gompertz etc have been used in various studies to analyze data and Weibull was mostly found to be suitable. The popular non-parametric and semi-parametric tests used in various studies include the K-M, Log rank and Cox Proportional hazard model. However, necessary diagnostic checks on model _tness and non-violation of assumptions were mostly ignored. This reduces the reliability of result and increase chance of estimation error. This study assessed the parametric and semi-parametric model of survival such as Cox Model, Weibull, Exponential and Gompertz Models. A retrospective cohort analysis was conducted on the tuberculosis patients receiving treatment under the Tuberculosis & Leprosy Control Program in Kano, Nigeria. The risk factors for death were assessed using the Cox proportional hazard model. The risk factors for death were assessed using the Cox proportional hazard model. The parametric models were compared, and the gompertz model was found to be the best _t for the data based on its minimum AIC & log-likelihood value. Among 2,555 the TB cases, the success rate of TB treatment was 97.06% and the mortality rate was 2.94%. Multivariate analysis showed that HIV, Age & Weight were signi_cant factors associated with mortality in TB patients during therapy. The study recommends the use of diagnostic checks such as Martingale, Deviance Residuals in model _tness. Also, comparism of parametric models is recommended in determination of best model that _ts tuberculosis data of patients. Key words: Survival Analysis, Kaplan Meier, Cox Proportional Hazard Model, Parametric Models, Tuberculosis.en_US
dc.identifier.urihttp://ugspace.ug.edu.gh:8080/handle/123456789/41267
dc.language.isoenen_US
dc.publisherUniversity Of Ghanaen_US
dc.subjectSurvival Analysisen_US
dc.subjectKaplan Meieren_US
dc.subjectCox Proportional Hazard Modelen_US
dc.titleSurvival Analysis Among Tuberculosis Patients: A Case Study of Adults in Kano State in Nigeriaen_US
dc.typeThesisen_US

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