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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F07%3A00005386%21RIV08-MSM-11320___
rdf:type
n12:Vysledek skos:Concept
dcterms:description
A Bayesian approach is proposed for an accelerated failure time model with interval-censored data. The model allows for structured correlated data by inclusion of a random effect part that might depend on covariates, as in a linear mixed model. The error distribution is modelled as a normal mixture with an unknown number of components. Also, the means and variances of the components are not prespecified so as to accommodate most continuous distributions. This results, among other things, in a nearly correct estimation of the shape of the hazard and survivor curves. A Markov chain Monte Carlo algorithm is described that samples from the posterior distribution. The approach is evaluated using a simulation study, and is illustrated by modeling the emergence times of eight permanent teeth using data from the Signal Tandmobiel study. Bayesovský AFT model pro korelovaná cenzorovaná data s normální směsí jako chybovým rozdělením. A Bayesian approach is proposed for an accelerated failure time model with interval-censored data. The model allows for structured correlated data by inclusion of a random effect part that might depend on covariates, as in a linear mixed model. The error distribution is modelled as a normal mixture with an unknown number of components. Also, the means and variances of the components are not prespecified so as to accommodate most continuous distributions. This results, among other things, in a nearly correct estimation of the shape of the hazard and survivor curves. A Markov chain Monte Carlo algorithm is described that samples from the posterior distribution. The approach is evaluated using a simulation study, and is illustrated by modeling the emergence times of eight permanent teeth using data from the Signal Tandmobiel study.
dcterms:title
Bayesovský AFT model pro korelovaná cenzorovaná data s normální směsí jako chybovým rozdělením Bayesian accelerated failure time model for correlated censored data with a normal mixture as an error distribution Bayesian accelerated failure time model for correlated censored data with a normal mixture as an error distribution
skos:prefLabel
Bayesian accelerated failure time model for correlated censored data with a normal mixture as an error distribution Bayesovský AFT model pro korelovaná cenzorovaná data s normální směsí jako chybovým rozdělením Bayesian accelerated failure time model for correlated censored data with a normal mixture as an error distribution
skos:notation
RIV/00216208:11320/07:00005386!RIV08-MSM-11320___
n3:strany
549;569
n3:aktivita
n4:Z
n3:aktivity
Z(MSM0021620839)
n3:cisloPeriodika
2
n3:dodaniDat
n7:2008
n3:domaciTvurceVysledku
n16:8113165
n3:druhVysledku
n11:J
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
411435
n3:idVysledku
RIV/00216208:11320/07:00005386
n3:jazykVysledku
n14:eng
n3:klicovaSlova
Bayesian; accelerated; failure; model; correlated; censored; normal; mixture; error; distribution
n3:klicoveSlovo
n9:model n9:Bayesian n9:mixture n9:failure n9:normal n9:accelerated n9:censored n9:distribution n9:error n9:correlated
n3:kodStatuVydavatele
CN - Čínská lidová republika
n3:kontrolniKodProRIV
[6F1E72DD1C9D]
n3:nazevZdroje
Statistica Sinica
n3:obor
n17:BB
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n7:2007
n3:svazekPeriodika
17
n3:tvurceVysledku
Komárek, Arnošt
n3:zamer
n10:MSM0021620839
s:issn
1017-0405
s:numberOfPages
21
n5:organizacniJednotka
11320