|
|
| |
| Survival analysis for recurrence of mycetoma using life tables and Kaplan Meier methods
Download PDF
|
Shima Abdalgader, Afra Hashim and Al Taiyb Ahmed
|
Abstract:
In survival analysis, Recurrent events approaches has become a useful approach to account for covariate effects on the distribution of an event time of interest The main objectives of this paper is to study the behavior of the recurrence of mycetoma using lifetable and Kaplan-Meier method. Mycetoma (eumycetoma) is a dangerous and takes patient to the late stages of the disease as it is painless in the beginning. Furthermore, has a high recurrence rate. In our study, we conducted estimates of survivor and hazard functions with non-parametric methods, Analyze Mycetoma data and identify factors affecting recurrence. Methodology for our study includes descriptive statistics and Kaplan Meier. 171 patients with Madurella mycetomatis were included in the study at the Mycetoma Research Centre, Khartoum, Sudan between 1991 and 2021. In our study, we conducted estimates of survivor and hazard functions with non-parametric methods, the result that obtained from Kaplan Meier quartiles for all study factors the probability of occurrence the recurrence 1 in Q1 is (0.23 to 0.62), Q2 is (0.40 to 0.75) and Q3 is (0.70 to 0.87) and the probability of recurrence 2 for Q1 is (0.085 to 0.90), Q2 is (0.24 to 0.93) and Q3 is (0.49 to 0.96). The h(t) result that we found from life table, the minimum value for patients at risk during the time interval from [40 100) is 0.01 The maximum value for patients at risk during the period from [200 220] and the results from time interval [20-40) are four patients getting the event, there is no recurrence in patients during the time intervals [120 140), [140 160), [180 200) and [220). the maximum S(t) during the time interval from [0 20).
|
|
|
| | |