382,008 papers found

Network Meta-analysis (NMA) is an advanced statistical method that combines direct evidence (ie, from head-to-head comparisons) and indirect evidence (ie, estimated from the direct available evidence) to obtain network estimates. NMAs are helpful to determine the comparative effectiveness of interventions that have not…

The objective of this study is to describe the general approaches to network meta-analysis that are available for quantitative data synthesis using R software. We conducted a network meta-analysis using two approaches: Bayesian and frequentist methods. The corresponding R packages were "gemtc" for the Bayesian approach…

Network meta-analysis is a statistical method combining information from randomised trials that compare two or more treatments for a given medical condition. Consistent treatment effects are estimated for all possible treatment comparisons. For estimation, weighted least squares regression that in a natural way general…

I am writing this comment regarding the review article by Patsaki et al. titled "Benefits from Incorporating Virtual Reality in Pulmonary Rehabilitation of COPD Patients: A Systematic Review and Meta-Analysis" [...].

Meta-analysis of rare events requires special considerations regarding which statistical method to use. This is because standard meta-analytical models are not well suited for the task, especially when some of the identified studies have reported zero events in one or more treatment groups.

Systematic reviews and meta-analyses have recently emerged as key sources of evidence to inform clinical care, from bedside individualized decisions to policy making. This article discusses the principles behind statistical methods for quantitative evidence synthesis, including meta-analysis and meta-regression. The au…

This special issue is an introduction to meta-analytic approaches, methods, and findings in neuropsychology. The six articles that comprise this issue include a review article, one article examining the statistical power of a specific research literature, and four new meta-analyses on neuropsychological topics. Togethe…

Meta-analysis is a relatively new development in medicine. It is conceptually appealing, summarizing the medical literature in a rigorous manner and providing clinicians with a global picture regarding the merits of interventions. This process can help clinicians choose appropriate, evidence-based management options fo…

Meta-analysis provides a powerful statistical tool for epidemiological study. The basic principle of meta-analysis is introduced in this paper, and some problems about its application in epidemiology are discussed. This method was used by the authors to study the relationship between exposure to extreme low frequency e…

Including all relevant material--good, bad, and indifferent--in meta-analysis admits the subjective judgments that meta-analysis was designed to avoid. Several problems arise in meta-analysis: regressions are often non-linear; effects are often multivariate rather than univariate; coverage can be restricted; bad studie…

Bayesian analysis is a method by which the reliability of diagnostic tests can be determined. It produces a probability of a patient having the disease given a positive test result (posterior probability). If more than one study of a given test's diagnostic accuracy is done, then how can we determine which of these stu…