Title | Bayesian inference on risk differences: an application to multivariate meta-analysis of adverse events in clinical trials. |
Publication Type | Journal Article |
Year of Publication | 2013 |
Authors | Chen, Yong, Sheng Luo, Haitao Chu, and Peng Wei |
Journal | Stat Biopharm Res |
Volume | 5 |
Issue | 2 |
Pagination | 142-155 |
Date Published | 2013 May 01 |
ISSN | 1946-6315 |
Abstract | Multivariate meta-analysis is useful in combining evidence from independent studies which involve several comparisons among groups based on a single outcome. For binary outcomes, the commonly used statistical models for multivariate meta-analysis are multivariate generalized linear mixed effects models which assume risks, after some transformation, follow a multivariate normal distribution with possible correlations. In this article, we consider an alternative model for multivariate meta-analysis where the risks are modeled by the multivariate beta distribution proposed by Sarmanov (1966). This model have several attractive features compared to the conventional multivariate generalized linear mixed effects models, including simplicity of likelihood function, no need to specify a link function, and has a closed-form expression of distribution functions for study-specific risk differences. We investigate the finite sample performance of this model by simulation studies and illustrate its use with an application to multivariate meta-analysis of adverse events of tricyclic antidepressants treatment in clinical trials. |
DOI | 10.1080/19466315.2013.791483 |
Alternate Journal | Stat Biopharm Res |
Original Publication | Bayesian inference on risk differences: an application to multivariate meta-analysis of adverse events in clinical trials. |
PubMed ID | 23853700 |
PubMed Central ID | PMC3706106 |
Grant List | U01 NS043127 / NS / NINDS NIH HHS / United States P30 CA077598 / CA / NCI NIH HHS / United States R03 HS020666 / HS / AHRQ HHS / United States R01 HL095511 / HL / NHLBI NIH HHS / United States P01 CA142538 / CA / NCI NIH HHS / United States U01 NS043128 / NS / NINDS NIH HHS / United States |
Bayesian inference on risk differences: an application to multivariate meta-analysis of adverse events in clinical trials.
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