ANALISIS DATA MULTILEVEL SURVIVAL DENGAN MENGGUNAKAN METODE HIERARCHICAL LIKELIHOOD ANALYSIS MULTILEVEL SURVIVAL DATA USING HIERARCHICAL LIKELIHOOD METHOD

RIZKHA DESYTA MUSTAFAFI, Danardono

2015 | Disertasi | FMIPA

A method for modeling survival data with multilevel clustering is described. Hierarchical likelihood method is used for fitting frailty models. The method has proven to be more efficient and fast algorithm for multilevel models. Estimating frailty lognormal model for a three-levels hierarchical survival model are developed in detail. The method is applied to analyze a set of chronic granulomatous disease (CGD) data on repeated infections as an illustration with both hospital and patient effect being considered as random. The case study equipped with the handling of cases censored

Kata Kunci : Frailty, Hierarchical Likelihood, Lognormal Frailty, recurent, threelevel hierarchy, censored