个体参与者生存数据的两阶段荟萃分析，使用百分位比。
Two-stage meta-analysis of survival data from individual participants using percentile ratios.
机构信息
MRC Biostatistics Unit, Cambridge, UK.
出版信息
Stat Med. 2012 Dec 30;31(30):4296-308. doi: 10.1002/sim.5516. Epub 2012 Jul 24.
Abstract
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.
摘要
生存结局的个体参与者数据荟萃分析方法通常侧重于风险比作为治疗效果的度量。最近，Siannis 等人（2010 年，《统计医学》29:3030-3045）提出使用百分位比作为风险比的替代方法。我们描述了一种新颖的荟萃分析百分位比的两阶段方法，该方法避免了研究水平的分布假设。
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