A unified framework for fitting Bayesian semiparametric models to arbitrarily censored survival data, including spatially referenced data
ABSTRACT A comprehensive, unified approach to modeling arbitrarily censored spatial
survival data is presented for the three most commonly used semiparametric models …
survival data is presented for the three most commonly used semiparametric models …
A cause-specific hazard spatial frailty model for competing risks data
Competing risks data is often grouped into clusters, such as geographic regions. Shared
frailty models can be used to model the correlation between individuals within each cluster …
frailty models can be used to model the correlation between individuals within each cluster …
Spatial Survival Models for Analysis of Exocytotic Events on Human beta-cells Recorded by TIRF Imaging
THI Phan - 2018 - research.unipd.it
Exocytosis on beta-cells is one of the fundamental cellular processes that releases insulin-
containing secretory granules to blood through the plasma membrane due to stimulus …
containing secretory granules to blood through the plasma membrane due to stimulus …
[PDF][PDF] PENYELESAIAN MODEL SURVIVAL DENGAN HAZARD NONPROPORSIONAL
Analisis survival adalah suatu metode statistika yang digunakan untuk analisis data pada
durasi daya tahan. Waktu survival adalah jangka waktu yang dicapai suatu objek dari waktu …
durasi daya tahan. Waktu survival adalah jangka waktu yang dicapai suatu objek dari waktu …
Count processes approach to recurrent event data: a Bayesian model for blood donations
E SPINELLI - 2018 - politesi.polimi.it
This work tries to give a solution to a very important and practical issue: the prediction of the
number of donations in a specific blood centre, in order to efficiently plan the collection …
number of donations in a specific blood centre, in order to efficiently plan the collection …