Reviewing and Analyzing Breast Cancer Survival Models

Introduction & Survival analysis using statistical methods is known as the main method that is used by medical researchers to determine prognosis indicators. The objective is to identify and analyze different models of breast cancer survival introduced in literature.
In this study¡ a variety of models introduced in literature from 1984 to 2016 is considered. Furthermore the survival rates of studied patients addressed by different sources are investigated in this research. This investigation considers 40 breast cancer models by analyzing more than 70 scientific references. This research includes analysis of parametric¡ semi-parametric and nonparametric survival model types introduced for breast cancer patients.
This comprehensive review of 40 different models of breast cancer survival addresses that the most important factors of the survival are age¡ lymph node and its number¡ the disease stage¡ malignity grade¡ tumor size and hormone therapy (where it depends on the status of estrogen and progesterone receptors). This comprehensive study addresses that impacts of survival analysis methods on treatment protocols have not been reported by researchers.
This comprehensive research indicates that the literature is not capable of providing the opportunity for one to select a comprehensive model among the models introduced by researchers. This research addresses that Cox approach is referred to as the best model approached by researchers to analyze breast cancer survival.