PEMODELAN EXCESS HAZARD PADA REGRESI RELATIVE SURVIVAL DENGAN ALGORITMA EM; EXCESS HAZARD MODELLING IN RELATIVE SURVIVAL REGRESSION USING EM ALGORITHM

WULANDARI, PERTIWI HANDAYANI, Danardono

2016 | Skripsi | FMIPA

The goal of relative survival methodology is to compare the survival experience of a cohort or observed survival proportion with the expected survival in a population. Relative survival function is used when the cause of death information is not accurate or not available. Method for relative survival can be expressed as relative survival regression or additive relative survival which assumes that each person’s hazard is a sum of two components, the population hazard obtained from life table and an excess hazard due to the specific condition or disease of interest. In this paper will explained an approach to modelling excess hazard in relative survival regression more flexible which requires no assumptions about the baseline excess hazard. The procedure using the EM algorithm which treating the cause of death as missing variable. Baseline excess hazard is estimated simultaneously with the coefficients of the model. This is can be seen as a generalization of the Cox model. The outcome measure of excess hazard is interpreted as excess risk based on covariate that risk was caused by specific condition for example cancer. The method is applied to a right censored data set on survival Colon Carcinoma Cancer in Finland.

Kata Kunci : relative survival, additive model, EM algorithm