This HTML5 document contains 55 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n7http://localhost/temp/predkladatel/
n17http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n12http://linked.opendata.cz/ontology/domain/vavai/
n11http://linked.opendata.cz/resource/domain/vavai/zamer/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n15http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216208%3A11320%2F07%3A00005649%21RIV08-MSM-11320___/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n4http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n6http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n14http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n9http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n18http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n13http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n16http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F07%3A00005649%21RIV08-MSM-11320___
rdf:type
skos:Concept n12:Vysledek
dcterms:description
Nowadays, most clinical trials are conducted in different centers and even in different countries. In most multi-center studies, the primary analysis assumes that the treatment effect is constant over centers. However, it is also recommended to perform an exploratory analysis to highlight possible center by treatment interaction, especially when several countries are involved. We propose in this paper an exploratory Bayesian approach to quantify this interaction in the context of survival data. To this end we used and generalized a random effects accelerated failure time model. The generalization consists in using a penalized Gaussian mixture as an error distribution on top of multivariate random effects that are assumed to follow a normal distribution. For computational convenience, the computations are based on Markov chain Monte Carlo techniques. The proposed method is illustrated on the disease-free survival times of early breast cancer patients collected in the EORTC trial 10854. Nowadays, most clinical trials are conducted in different centers and even in different countries. In most multi-center studies, the primary analysis assumes that the treatment effect is constant over centers. However, it is also recommended to perform an exploratory analysis to highlight possible center by treatment interaction, especially when several countries are involved. We propose in this paper an exploratory Bayesian approach to quantify this interaction in the context of survival data. To this end we used and generalized a random effects accelerated failure time model. The generalization consists in using a penalized Gaussian mixture as an error distribution on top of multivariate random effects that are assumed to follow a normal distribution. For computational convenience, the computations are based on Markov chain Monte Carlo techniques. The proposed method is illustrated on the disease-free survival times of early breast cancer patients collected in the EORTC trial 10854. Heterogenita v baselinu a efektu ošetření mezi centry pro časy přežití při použití AFT modelu s náhodnými efekty a flexibilním chybovým rozdělením.
dcterms:title
Baseline and treatment effect heterogeneity for survival times between centers using a random effects accelerated failure time model with flexible error distribution Baseline and treatment effect heterogeneity for survival times between centers using a random effects accelerated failure time model with flexible error distribution Heterogenita v baselinu a efektu ošetření mezi centry pro časy přežití při použití AFT modelu s náhodnými efekty a flexibilním chybovým rozdělením
skos:prefLabel
Baseline and treatment effect heterogeneity for survival times between centers using a random effects accelerated failure time model with flexible error distribution Heterogenita v baselinu a efektu ošetření mezi centry pro časy přežití při použití AFT modelu s náhodnými efekty a flexibilním chybovým rozdělením Baseline and treatment effect heterogeneity for survival times between centers using a random effects accelerated failure time model with flexible error distribution
skos:notation
RIV/00216208:11320/07:00005649!RIV08-MSM-11320___
n3:strany
5457;5472
n3:aktivita
n9:Z
n3:aktivity
Z(MSM0021620839)
n3:cisloPeriodika
30
n3:dodaniDat
n16:2008
n3:domaciTvurceVysledku
n17:8113165
n3:druhVysledku
n13:J
n3:duvernostUdaju
n6:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
411393
n3:idVysledku
RIV/00216208:11320/07:00005649
n3:jazykVysledku
n14:eng
n3:klicovaSlova
Baseline; treatment; effect; heterogeneity; survival; times; between; centers; using; random; effects; accelerated; failure; model; flexible; error; distribution
n3:klicoveSlovo
n4:using n4:heterogeneity n4:random n4:model n4:times n4:effect n4:centers n4:between n4:effects n4:flexible n4:accelerated n4:treatment n4:failure n4:distribution n4:survival n4:Baseline n4:error
n3:kodStatuVydavatele
GB - Spojené království Velké Británie a Severního Irska
n3:kontrolniKodProRIV
[E0B4BC4D3934]
n3:nazevZdroje
Statistics in Medicine
n3:obor
n18:BB
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n16:2007
n3:svazekPeriodika
26
n3:tvurceVysledku
Komárek, Arnošt
n3:zamer
n11:MSM0021620839
s:issn
0277-6715
s:numberOfPages
16
n7:organizacniJednotka
11320