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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F08%3A00100056%21RIV09-MSM-11320___
rdf:type
skos:Concept n18:Vysledek
dcterms:description
In this article we consider the relationship of covariates to the time to caries of permanent first molars. This involves an analysis of multivariate doubly interval-censored data. To describe this relationship, we suggest an accelerated failure time model with random effects, taking into account that the observations are clustered. Indeed, up to four permanent molars per child enter into the analysis, implying up to four caries times for each child. Each distributional part of the model is specified in a flexible way as a penalized Gaussian mixture with an overspecified number of mixture components. A Bayesian approach with the Markov chain Monte Carlo methodology is used to estimate the model parameters, and a software package in the R language has been written that implements it. In this article we consider the relationship of covariates to the time to caries of permanent first molars. This involves an analysis of multivariate doubly interval-censored data. To describe this relationship, we suggest an accelerated failure time model with random effects, taking into account that the observations are clustered. Indeed, up to four permanent molars per child enter into the analysis, implying up to four caries times for each child. Each distributional part of the model is specified in a flexible way as a penalized Gaussian mixture with an overspecified number of mixture components. A Bayesian approach with the Markov chain Monte Carlo methodology is used to estimate the model parameters, and a software package in the R language has been written that implements it. Bayesovský AFT model s vícerozměrnými dvojitě intervalově cenzorovanými daty a flexibilními předpoklady o rozdělení.
dcterms:title
Bayesian accelerated failure time model with multivariate doubly-interval-censored data and flexible distributional assumptions Bayesian accelerated failure time model with multivariate doubly-interval-censored data and flexible distributional assumptions Bayesovský AFT model s vícerozměrnými dvojitě intervalově cenzorovanými daty a flexibilními předpoklady o rozdělení
skos:prefLabel
Bayesovský AFT model s vícerozměrnými dvojitě intervalově cenzorovanými daty a flexibilními předpoklady o rozdělení Bayesian accelerated failure time model with multivariate doubly-interval-censored data and flexible distributional assumptions Bayesian accelerated failure time model with multivariate doubly-interval-censored data and flexible distributional assumptions
skos:notation
RIV/00216208:11320/08:00100056!RIV09-MSM-11320___
n3:aktivita
n17:Z
n3:aktivity
Z(MSM0021620839)
n3:cisloPeriodika
482
n3:dodaniDat
n12:2009
n3:domaciTvurceVysledku
n15:8113165
n3:druhVysledku
n8:J
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
357690
n3:idVysledku
RIV/00216208:11320/08:00100056
n3:jazykVysledku
n7:eng
n3:klicovaSlova
Bayesian; accelerated; failure; model; multivariate; doubly-interval-censored; flexible; distributional; assumptions
n3:klicoveSlovo
n4:distributional n4:failure n4:flexible n4:doubly-interval-censored n4:model n4:Bayesian n4:multivariate n4:accelerated n4:assumptions
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[043E7AC14E95]
n3:nazevZdroje
Journal of the American Statistical Association
n3:obor
n11:BB
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n12:2008
n3:svazekPeriodika
103
n3:tvurceVysledku
Komárek, Arnošt Lesaffre, Emmanuel
n3:wos
000257897500011
n3:zamer
n14:MSM0021620839
s:issn
0162-1459
s:numberOfPages
11
n10:organizacniJednotka
11320