Estimating Survival Time of Dengue Haemorrhagic Fever Using Extended Cox Model

Abstract

Dengue Haemorrhagic Fever (DHF) is a disease that tends to increase every year around the world and become endemic almost half the world’s population. In Indonesia since 1968, DHF has known in Surabaya and Jakarta. Survival analysis is a statistical analysis that specifically used to analyze data or cases related to the time or length of time until a particular event occurs. The aims of this research where to find out the significant variables that influence the rate of death DHF patient at Dr. Pirngadi Hospital in January until December 2017 as many as 100 patients. The result shows that the Extended Cox Model could overcome the assumption of non-proportional hazard on DHF patients at Dr. Pirngadi Hospital, during January until December 2017. The best model is Extended Cox Model time function gi(t) = t, because the model have the smallest score of AIC is 213.0408. Furthemore, Gender variable was the significant factor that influence toward survival time on DHF patients. In this case, Female has exp(0.9162) = 2.5, it means that Female has a higher risk of death rate of 2.5 than Male on DHF patients during January until December 2017 at Dr. Pirngadi Hospital.