About: Bayesian accelerated failure time model with multivariate doubly-interval-censored data and flexible distributional assumptions     Goto   Sponge   NotDistinct   Permalink

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  • 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. (en)
  • Bayesovský AFT model s vícerozměrnými dvojitě intervalově cenzorovanými daty a flexibilními předpoklady o rozdělení. (cs)
Title
  • 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 (cs)
  • Bayesian accelerated failure time model with multivariate doubly-interval-censored data and flexible distributional assumptions (en)
skos:prefLabel
  • 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 (cs)
  • Bayesian accelerated failure time model with multivariate doubly-interval-censored data and flexible distributional assumptions (en)
skos:notation
  • RIV/00216208:11320/08:00100056!RIV09-MSM-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021620839)
http://linked.open...iv/cisloPeriodika
  • 482
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 357690
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/08:00100056
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Bayesian; accelerated; failure; model; multivariate; doubly-interval-censored; flexible; distributional; assumptions (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [043E7AC14E95]
http://linked.open...i/riv/nazevZdroje
  • Journal of the American Statistical Association
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 103
http://linked.open...iv/tvurceVysledku
  • Komárek, Arnošt
  • Lesaffre, Emmanuel
http://linked.open...ain/vavai/riv/wos
  • 000257897500011
http://linked.open...n/vavai/riv/zamer
issn
  • 0162-1459
number of pages
http://localhost/t...ganizacniJednotka
  • 11320
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