ANALISIS KEJADIAN BERULANG DENGAN MENGGUNAKAN MODEL POISSON YANG HOMOGEN DAN MODEL INTERVAL WAKTU (GAP TIMES)
Recurrent events for individual subjects are of interest in medical study. Two fundamental ways to modelling recurrent events are through event counts and through gap times between succesive events. Poisson Model based on event counts is applied by counting the number of events over spesific period...
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| Main Authors: | , |
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| Format: | Theses and Dissertations NonPeerReviewed |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2012
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/118383/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=58330 |
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| Summary: | Recurrent events for individual subjects are of interest in medical study. Two
fundamental ways to modelling recurrent events are through event counts and through
gap times between succesive events. Poisson Model based on event counts is applied
by counting the number of events over spesific period of time, if there is overdispersion
data then Poisson random effects models is applied to analyze the problem.
Parametric and semiparametric gap time model are analysis based on gap times between
succesive events. Models are applied to female rats experiment data to observe
spesific treatment effect of certain medication to tumour occurences. Models application
shows that Poisson model with splitting point exactly at the event times will
have same result as parametric gap time model. Result of simulation data gives an
estimation of Poisson model and gap time model for both frequent and infrequent
data with a big value of coverage probability. |
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