title: Two-stage meta-analysis of survival data from individual participants using percentile ratios.
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.
authors: MRC Biostatistics Unit, Cambridge, UK. Jessica.Barrett@mrc-bsu.cam.ac.uk
authors: Jessica K
authors: JK
authors: Barrett
authors: Vern T
authors: VT
authors: Farewell
authors: Fotios
authors: F
authors: Siannis
authors: Jayne
authors: J
authors: Tierney
authors: Julian P T
authors: JP
authors: Higgins
mesh_terms: D000704:Analysis of Variance; D003198:Computer Simulation; D005910:Glioma / Q000601:surgery; D006801:Humans; D053208:Kaplan-Meier Estimate; D016015:Logistic Models; D015201:Meta-Analysis as Topic; D016017:Odds Ratio; D011182:Postoperative Care / Q000379:methods / Q000706:statistics & numerical data; D011336:Probability; D016016:Proportional Hazards Models; D016019:Survival Analysis; D016896:Treatment Outcome