Survival Model of Cervical Cancer Patients using the 3-Parameter Weibull Distribution Model
Hassan Swedy Lunku1, Ismail Juma Kaudunde2, Kidney Chillingo3
1Hassan Swedy Lunku, Assistant Lecturer, Department of Local Government Accounting and Finance, Local Government Training Institute (LGTI), Dodoma, Tanzania.
2Ismail Juma Kaudunde, Lecturer, Department of Local Government Accounting and Finance, Local Government Training Institute (LGTI), Dodoma, Tanzania.
3Kidney Chillingo, Department of Local Government Accounting and Finance, Local Government Training Institute (LGTI), Dodoma, Tanzania.
Manuscript received on 07 March 2025 | First Revised Manuscript received on 18 April 2025 | Second Revised Manuscript received on 19 June 2025 | Manuscript Accepted on 15 July 2025 | Manuscript published on 30 July 2025 | PP: 24-31 | Volume-5 Issue-5, July 2025 | Retrieval Number: 100.1/ijpmh.D106805040525 | DOI: 10.54105/ijpmh.D1068.05050725
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Abstract: This study aimed to evaluate a parametric survival model of cervical cancer patients treated with ORCI, and a case study was considered for a description of the model. The survey of survival times of cervical cancer patients may help reduce cervical cancer outcomes. Data on socio-demographic characteristics, reproductive status, stages, treatment, and follow-up of the treatment, abstracted from medical files, were considered in model development. The primary objective of this study was to analyse cervical cancer survival times from the diagnosis period using a three-parameter Weibull distribution model. The analysis was performed using the open-source statistical software R and Minitab. The three-parameter Weibull distribution is very flexible for random data fitting; moreover, it has a strong adaptability for different types of probability distributions. When the three parameters are well chosen, it can be equal to or approximate some other statistical distribution. However, the three parameters were estimated to utilize the Weibull model successfully. The distribution of survival times of cervical cancer patients, as analysed, follows the three-parameter Weibull distribution, with required test statistics including the Anderson-Darling significant value and standard probability plots. The use of other parametric distribution models, such as the Gamma, three-parameter Gamma, and Weibull distributions, which encompass various types of hazard functions, is recommended for future studies.
Keywords: 3-Parameter Weibull Distribution Model, Parametric Model, Survival Times, Cervical Cancer.
Scope of the Article: Community Health