Baseline and treatment effect heterogeneity for survival times between centers using a random effects accelerated failure time model with flexible error distribution
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F07%3A00005649" target="_blank" >RIV/00216208:11320/07:00005649 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Baseline and treatment effect heterogeneity for survival times between centers using a random effects accelerated failure time model with flexible error distribution
Original language 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 thisend 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.
Czech name
Heterogenita v baselinu a efektu ošetření mezi centry pro časy přežití při použití AFT modelu s náhodnými efekty a flexibilním chybovým rozdělením
Czech description
Heterogenita v baselinu a efektu ošetření mezi centry pro časy přežití při použití AFT modelu s náhodnými efekty a flexibilním chybovým rozdělením.
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Statistics in Medicine
ISSN
0277-6715
e-ISSN
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Volume of the periodical
26
Issue of the periodical within the volume
30
Country of publishing house
GB - UNITED KINGDOM
Number of pages
16
Pages from-to
5457-5472
UT code for WoS article
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EID of the result in the Scopus database
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