PENDEKATAN HIERARCHICAL LIKELIHOOD UNTUK MODEL LOGNORMAL FRAILTY SATU KOMPONEN DALAM ANALISIS DATA SURVIVAL DUA LEVEL

• Main Authors: , Dewi Wulandari, , Dr. Abdurakhman, S.Si., M.Si.
• Format: Theses and Dissertations NonPeerReviewed
• Published: [Yogyakarta] : Universitas Gadjah Mada 2014
• Subjects: ETD
• Online Access: https://repository.ugm.ac.id/133724/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=74514
• Institution: Universitas Gadjah Mada

In survival analysis, it�s known a hazard function. It�s a risk or rate of an individual get an event with one conditional, that individual survives until an event occurs. The hazard function may depend on observed risk variables but usually not all variables are known or measurable. This unknown factor of the hazard function is usually termed the individual heterogeneity or frailty. In its simplest form, a frailty is an unobserved random factor that modifies multiplicatively the hazard function of an individual or group or cluster of individuals. In this thesis will be discussed about lognormal frailty model, an extension of Cox regression. Hierarchical likelihood method will be used to estimate the regression coefficients and to find the effect of frailty in the two level survival data.