Two-stage meta-analysis of survival data from individual participants using percentile ratios

Methods for individual participant data meta-analysis of survival outcomes commonly focus on the hazard ratio as a measure of treatment effect. Recently, Siannis et al. (2010, Statistics in Medicine 29:3030–3045) proposed the use of percentile ratios as an alternative to hazard ratios. We describe a...

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Detalles Bibliográficos
Autores principales: Barrett, Jessica K, Farewell, Vern T, Siannis, Fotios, Tierney, Jayne, Higgins, Julian P T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2012
Materias:
Special Issue Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3562482/
https://www.ncbi.nlm.nih.gov/pubmed/22825835
http://dx.doi.org/10.1002/sim.5516
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author Barrett, Jessica K
Farewell, Vern T
Siannis, Fotios
Tierney, Jayne
Higgins, Julian P T
author_facet Barrett, Jessica K
Farewell, Vern T
Siannis, Fotios
Tierney, Jayne
Higgins, Julian P T
author_sort Barrett, Jessica K
collection PubMed
description Methods for individual participant data meta-analysis of survival outcomes commonly focus on the hazard ratio as a measure of treatment effect. Recently, Siannis et al. (2010, Statistics in Medicine 29:3030–3045) proposed the use of percentile ratios as an alternative to hazard ratios. We describe a novel two-stage method for the meta-analysis of percentile ratios that avoids distributional assumptions at the study level. Copyright © 2012 John Wiley & Sons, Ltd.
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spelling pubmed-35624822013-02-07 Two-stage meta-analysis of survival data from individual participants using percentile ratios Barrett, Jessica K Farewell, Vern T Siannis, Fotios Tierney, Jayne Higgins, Julian P T Stat Med Special Issue Papers Methods for individual participant data meta-analysis of survival outcomes commonly focus on the hazard ratio as a measure of treatment effect. Recently, Siannis et al. (2010, Statistics in Medicine 29:3030–3045) proposed the use of percentile ratios as an alternative to hazard ratios. We describe a novel two-stage method for the meta-analysis of percentile ratios that avoids distributional assumptions at the study level. Copyright © 2012 John Wiley & Sons, Ltd. John Wiley & Sons, Ltd 2012-12-30 2012-07-24 /pmc/articles/PMC3562482/ /pubmed/22825835 http://dx.doi.org/10.1002/sim.5516 Text en Copyright © 2012 John Wiley & Sons, Ltd. http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Special Issue Papers
Barrett, Jessica K
Farewell, Vern T
Siannis, Fotios
Tierney, Jayne
Higgins, Julian P T
Two-stage meta-analysis of survival data from individual participants using percentile ratios
title Two-stage meta-analysis of survival data from individual participants using percentile ratios
title_full Two-stage meta-analysis of survival data from individual participants using percentile ratios
title_fullStr Two-stage meta-analysis of survival data from individual participants using percentile ratios
title_full_unstemmed Two-stage meta-analysis of survival data from individual participants using percentile ratios
title_short Two-stage meta-analysis of survival data from individual participants using percentile ratios
title_sort two-stage meta-analysis of survival data from individual participants using percentile ratios
topic Special Issue Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3562482/
https://www.ncbi.nlm.nih.gov/pubmed/22825835
http://dx.doi.org/10.1002/sim.5516
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