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

被引：16

作者：

Barrett, Jessica K. ^{[1
]}

Farewell, Vern T.

Siannis, Fotios ^{[2
]}

Tierney, Jayne ^{[3
]}

Higgins, Julian P. T.

机构：

[1] MRC, Biostat Unit, Inst Publ Hlth, Cambridge CB2 0SR, England

[2] Univ Athens, Dept Math, Athens, Greece

[3] MRC, Clin Trials Unit, London, England

来源：

STATISTICS IN MEDICINE | 2012年 / 31卷 / 30期

基金：

英国医学研究理事会;

关键词：

individual patient data; meta-analysis; survival data; DENSITY ESTIMATOR;

D O I：

10.1002/sim.5516

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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 29:30303045) 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 (c) 2012 John Wiley & Sons, Ltd.

引用

页码：4296 / 4308

页数：13

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