An Application of Cox Mixed Cure Model for Breast Cancer Patients
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Tarih
2021
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info:eu-repo/semantics/openAccess
Özet
Objective: Survival analyses are used in cancer research in the selection of treatment methods that may be effective in survival time and in investigating prognostic factors. In the literature, Cox regression analysis was performed without investigating whether the assumptions were met in survival analysis. The aim of this study is; to give information about the features of Cox mixed cure models and to show its application for breast cancer patients. Material and Methods: In our study, it was observed that breast cancer data did not provide the proportional hazard assumption. In addition, since the survival curve has a flattened tail after 72 months, this study was analyzed with a mixed cure model. In the model, cured and uncured patients are modeled separately. Results: In our study, the median survival time of the patients was found to be 72 months (95% confidence interval; 51.88-92.12). Progesterone receptor, estrogen receptor, c-erbB-2, age and lymph node were found to be a significant risk factor for the survival of breast cancer patients in cured and uncured part (for all of them p<0.05). Conclusion: Nowadays, cancer patients are more likely to recover. For this reason, we think that it would be appropriate to evaluate the survival analyses of cured and uncured cancer patients separately with a mixed cure model instead of Cox regression analysis in modeling the survival analysis of cancer patients.
Açıklama
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Kaynak
Türkiye Klinikleri Biyoistatistik Dergisi
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Cilt
13
Sayı
2
