%0 Journal Article %T Comparison Cure Rate Models by DIC Criteria in Breast Cancer Data %J Asian Pacific Journal of Cancer Prevention %I West Asia Organization for Cancer Prevention (WAOCP), APOCP's West Asia Chapter. %Z 1513-7368 %A Baghestani, Ahmad Reza %A Shahmirzalou, Parviz %A Sayad, Soheila %A Akbari, Mohammad Esmaeil %A Zayeri, Farid %D 2018 %\ 06/01/2018 %V 19 %N 6 %P 1601-1606 %! Comparison Cure Rate Models by DIC Criteria in Breast Cancer Data %K Breast Neoplasm %K Cancer Research Center %K Cure Rate Model %K Deviance Information Criteria ‎‎(DIC) %K Survival Analysis %R 10.22034/APJCP.2018.19.6.1601 %X Background: One of the malignant tumors is Breast Cancer (BC) that starts in the cells of breast. There is manymodels for survival analysis of patients such as Cox PH model, Parametric models etc. But some disease are thatall of patients will not experience main event then usual survival model is inappropriate. In addition, In the presence ofcured patients, if researcher can specify distribution of survival time, usually cure rate models are preferable toparametric models. Distribution of Survival time can be Weibull, Log normal, Logistic, Gamma and so. Comparison ofWeibull, Log normal and Logistic distribution for finding the best distribution of survival time is purpose of this study.Material and Methods: Among 787 patients with BC by Cancer Research Center recognized and followed from1985 until 2013. Variables stage of cancer, age at diagnosis, tumor size and Number of Removed Positive LymphNodes (NRPLN) for fitting Cure rate model were selected. The best model selected with DIC criteria. All analysiswere performed using SAS 9.2. Results: Mean (SD) of age was 48.47 (11.49) years and Mean of survival time andMaximum follow up time was 326 and 55.12 months respectively. During following patients, 145 (18.4%) patientsdied from BC and others survived (censored). Also, 1-year, 5-year and 10-year survival rate was 94, 77 and 56 percentrespectively. Log normal model with smaller DIC were selected and fitted. All of mentioned variables in the modelwere significant on cure rate. Conclusion: This study indicated that survival time of BC followed from Log normaldistribution in the best way. %U https://journal.waocp.org/article_63269_392a334ff60ecac40c9fd1963018048d.pdf