Analisis Survival dengan Metode Regresi Cox Weibull

Survival analysis is one of the statistical methods used to analyze data relating to time, starting from time origin or starting point to a special event or end point. The moment in question is the year, month, or day in which time begins from a person's follow-up to a specific event. One of the approaches to the survival analysis is the regression cox proportional hazard commonly called the regression cox. The regression cox model has a formula where a doubling of a baseline hazard function and an exponential form of linear jumble. A baseline hazard function on the cox regression can be assumed to follow a certain distribution, one of which can be used as weibull distribution. If a baseline hazard function on regression cox using a weibull function, it becomes the cox weibull regression model In the study the writer will study the regression model cox weibull, how the procedure of getting the cox weibull regression model then testing its individual parameters using simulated testing and individual testing, selecting the best model using akaike information criterion (AIC) value criteria, assessments on independent variables plot residual schoenfeld. The regression model cox weibull in this study is used to identify any factors that have significant impact on old data seeking employment in yogyakarta province in 2015As for the regression model cox weibull to find out what factors have significant impact on old data to find employment in yogyakarta province in 2015 Where variable 6 x are domestic position factors. So a significant factor in job hunting is domestic position factors. While the factors that do not have a significant effect are regional classification factors, age factors, educational factors, gener factors, maritial status factors, and job training factors.