Open AccessPENERAPAN MODEL PENYEMBUHAN DENGAN REGRESI COX HAZARD PROPORSIONAL PADA PENYAKIT KANKER KOLOREKTAL
Author(s) -
Wirna Arifitriana,
Danardono Danardono
Publication year - 2019
Publication title -
eksakta : jurnal penelitian dan pembelajaran mipa/eksakta
Language(s) - English
Resource type - Journals
eISSN - 2598-2400
pISSN - 2502-101X
DOI - 10.31604/eksakta.v4i1.66-72
Subject(s) - proportional hazards model , statistics , wald test , hazard ratio , mathematics , survival analysis , likelihood ratio test , logistic regression , maximum likelihood , expectation–maximization algorithm , statistical hypothesis testing , confidence interval
Survival analysis is a statistical technique used to analyze the data, aims to determine the variables that affect the outcome of a beginning to end the incident. One model of survival is a cure model is useful for estimating the proportion of patients who recover and the probability of survival of patients who did not recover until the deadline given. Analysis on Cox regression cure model Hazard Proportional with Maximum Likelihood Estimates and Algorithm Expectation Maximization (EM). Keywords: Cox Proportional Hazard Cure Model, MLE, EM algorithm, likelihood ratio test, Wald test.