| Literature DB >> 26716025 |
Abstract
It is well known that a meta-analysis of randomized controlled trials aims to increase the power and precision of the estimated intervention effects. However, when a meta-analysis includes a limited number of patients and a small number of events, overestimation of intervention effect estimates may occur and could cause spurious results. Although many biases can cause the overestimation, random error may be the most common cause. Trial sequential analysis (TSA) can explore the independent effect of random error on intervention effect estimates in meta-analyses and protect meta-analyses against overestimation due to random error.Entities:
Keywords: Meta-analyses; random error; trial sequential analysis (TSA)
Year: 2015 PMID: 26716025 PMCID: PMC4669263 DOI: 10.3978/j.issn.2072-1439.2015.11.10
Source DB: PubMed Journal: J Thorac Dis ISSN: 2072-1439 Impact factor: 2.895