ABSTRACT
In this study, the average recovery time of Tuberculosis patients and the associated risk of treatment failure/death were examined based on a retrospective moving cohort of sixty-one patients. Mainly, four models: Cox regression, Kaplan-Meier estimator, Log-Pearson III, and the generalized gamma distributions were employed in the analysis to explore all useful information that may be of help to policy makers and stakeholders in their quest to improve service delivery to patients.
DIOGGBAN, J (2021). Survival Analysis Of Average Recovery Time Of Tuberculosis Patients In Northern Region, Ghana. Afribary. Retrieved from https://afribary.com/works/survival-analysis-of-average-recovery-time-of-tuberculosis-patients-in-northern-region-ghana
DIOGGBAN, JAKPERIK "Survival Analysis Of Average Recovery Time Of Tuberculosis Patients In Northern Region, Ghana" Afribary. Afribary, 16 Apr. 2021, https://afribary.com/works/survival-analysis-of-average-recovery-time-of-tuberculosis-patients-in-northern-region-ghana. Accessed 08 May. 2024.
DIOGGBAN, JAKPERIK . "Survival Analysis Of Average Recovery Time Of Tuberculosis Patients In Northern Region, Ghana". Afribary, Afribary, 16 Apr. 2021. Web. 08 May. 2024. < https://afribary.com/works/survival-analysis-of-average-recovery-time-of-tuberculosis-patients-in-northern-region-ghana >.
DIOGGBAN, JAKPERIK . "Survival Analysis Of Average Recovery Time Of Tuberculosis Patients In Northern Region, Ghana" Afribary (2021). Accessed May 08, 2024. https://afribary.com/works/survival-analysis-of-average-recovery-time-of-tuberculosis-patients-in-northern-region-ghana