| dc.description.abstract | Survival analysis is a field of statistics that studies how individuals or objects endure over time. One commonly used statistical method in this field is the Cox Proportional Hazard Model. This model is used to determine the relationship between survival time and independent variables, with the assumption that the hazard ratio between individuals with different values of independent variables remains constant over time. Liver cirrhosis is a condition characterized by damage to the liver's structure and a decline in liver function. In this study, the Cox proportional hazard model is applied. Several factors were hypothesized to influence the recovery rate of patients with liver cirrhosis, including Age, Sex, Ascites, Hepatomegaly, Bilirubin, Cholesterol, Albumin, and Stage. The objective of this research is to develop a Cox Proportional Hazard Regression Model and identify the factors that influence the recovery rate of liver cirrhosis patients. The results of the study indicate that there is one variable significantly influences the recovery rate of liver cirrhosis patients. The resulting Cox Proportional Hazard Regression Model is: h(t)=h_0 (t)exp(-0.6115 Albumin). The interpretation of the hazard ratio (HR) shows that HR < 1, specifically 0.542, and β < 0, specifically -0.6115. This indicates that the covariate (X_7) (Albumin) is associated with a lower risk of failure. In other words, for liver cirrhosis patients, an increase in albumin levels, or albumin levels closer to normal, is associated with a 45.8% lower risk of death. | en_US |
