Analysis of the Survival of Breast Cancer Patients Using Weibull and Poisson Beta-Weibull Non-Mixture Cure Models

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GHASEMI FAHIMEH; RASEKHI ALIAKBAR; HAGHIGHAT SHAHPAR

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Journal: Research in Medicine Year:2019 | Volume:42 | Issue:4 Page(s): 236-242

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Title

Analysis of the Survival of Breast Cancer Patients Using Weibull and Poisson Beta-Weibull Non-Mixture Cure Models

Author(s)

GHASEMI FAHIMEH | RASEKHI ALIAKBAR | HAGHIGHAT SHAHPAR | Issue Writer Certificate

Keywords

Survival analysisQ2

Long-term survivorsQ1

Breast CancerQ2

Abstract

Background: : Therapies for many diseases especially cancers have been improved significantly in the recent year, so there have been an increased number of patients who do not experience mortality. In the analysis of these diseases, cure models are used instead of usual survival models. Weibull model and its generalized version, beta Weibull Poisson (BWP), are flexible models in cure models and are used in the present study to analyze Breast Cancer patients data. Materials and Methods: The data of the present descriptive study are from patients with Breast Cancer, who referred to Motamed Cancer Institute in Tehran during 1997-2006 and were followed from 2013 to 2017. A total of 270 patients were randomly selected and their individual characteristics were registered. The data were analyzed using Stata 12 and R3. 4. 1 softwares with the the significance level set at 0. 05. Results: The results showed that 43 (15. 9%) of patients deaths occurred after treatment. The rate of cure after one, three, and five years were found to be 0. 99, 0. 87, and 0. 83 respectively. The results of the current study showed that PBW Non-Mixture Cure Model (AIC=427) has better fit compared with weibull (AIC=593). Based on this model, variables of tumor size greater than 5 (P<0. 001) and tumor grade 3 (P<0. 001) are factors affecting patients cured. Also, the cure rate was estimated to be 80%. Conclusion: By studying the effects of factors affecting the occurrence of death, considering the unknown number of causes and using BWP models, the cancer trend can better be analyzed and more accurate information can be available for researchers.

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APA: Copy

GHASEMI, FAHIMEH, RASEKHI, ALIAKBAR, & HAGHIGHAT, SHAHPAR. (2019). Analysis of the Survival of Breast Cancer Patients Using Weibull and Poisson Beta-Weibull Non-Mixture Cure Models. PAJOUHESH DAR PEZESHKI, 42(4 ), 236-242. SID. https://sid.ir/paper/372623/en

Vancouver: Copy

GHASEMI FAHIMEH, RASEKHI ALIAKBAR, HAGHIGHAT SHAHPAR. Analysis of the Survival of Breast Cancer Patients Using Weibull and Poisson Beta-Weibull Non-Mixture Cure Models. PAJOUHESH DAR PEZESHKI[Internet]. 2019;42(4 ):236-242. Available from: https://sid.ir/paper/372623/en

IEEE: Copy

FAHIMEH GHASEMI, ALIAKBAR RASEKHI, and SHAHPAR HAGHIGHAT, “Analysis of the Survival of Breast Cancer Patients Using Weibull and Poisson Beta-Weibull Non-Mixture Cure Models,” PAJOUHESH DAR PEZESHKI, vol. 42, no. 4 , pp. 236–242, 2019, [Online]. Available: https://sid.ir/paper/372623/en

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