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March 2010 Nonparametric inference procedure for percentiles of the random effects distribution in meta-analysis
Rui Wang, Lu Tian, Tianxi Cai, L. J. Wei
Ann. Appl. Stat. 4(1): 520-532 (March 2010). DOI: 10.1214/09-AOAS280

Abstract

To investigate whether treating cancer patients with erythropoiesis-stimulating agents (ESAs) would increase the mortality risk, Bennett et al. [Journal of the American Medical Association 299 (2008) 914–924] conducted a meta-analysis with the data from 52 phase III trials comparing ESAs with placebo or standard of care. With a standard parametric random effects modeling approach, the study concluded that ESA administration was significantly associated with increased average mortality risk. In this article we present a simple nonparametric inference procedure for the distribution of the random effects. We re-analyzed the ESA mortality data with the new method. Our results about the center of the random effects distribution were markedly different from those reported by Bennett et al. Moreover, our procedure, which estimates the distribution of the random effects, as opposed to just a simple population average, suggests that the ESA may be beneficial to mortality for approximately a quarter of the study populations. This new meta-analysis technique can be implemented with study-level summary statistics. In contrast to existing methods for parametric random effects models, the validity of our proposal does not require the number of studies involved to be large. From the results of an extensive numerical study, we find that the new procedure performs well even with moderate individual study sample sizes.

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Rui Wang. Lu Tian. Tianxi Cai. L. J. Wei. "Nonparametric inference procedure for percentiles of the random effects distribution in meta-analysis." Ann. Appl. Stat. 4 (1) 520 - 532, March 2010. https://doi.org/10.1214/09-AOAS280

Information

Published: March 2010
First available in Project Euclid: 11 May 2010

zbMATH: 1189.62177
MathSciNet: MR2758183
Digital Object Identifier: 10.1214/09-AOAS280

Keywords: Bivariate beta , conditional permutation test , erythropoiesis-stimulating agents , logit-normal , two-level hierachical model

Rights: Copyright © 2010 Institute of Mathematical Statistics

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Vol.4 • No. 1 • March 2010
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