382,346 papers found

PURPOSE: This tutorial will provide speech-language pathologists with practical considerations and pragmatic tools for interpreting and critically evaluating a meta-analysis. Meta-analysis, which is a statistical procedure that involves combining research data across multiple high-quality research studies, is often con…

BACKGROUND: Electroacupuncture has been reported to successfully control pain. Currently, no systematic reviews of the effects of electroacupuncture on frozen shoulder patients have been performed. This review aims to provide current evidence on the efficacy of electroacupuncture for the management of pain in frozen sh…

This commentary accompanies the special issue of Prevention Science on modern meta-analytic methods. The papers that comprise this special issue are considered in terms of the next-generation meta-analytic questions they support: questions about multivariate relationships, drawing on real-life data structures, with imp…

Meta-analysis has become an integral part of evidence-based decision-making processes and is being increasingly used in medical and non-medical disciplines. Aggregate data or summary statistics continue to be the mainstay of meta-analysis and are used by many professional societies to support clinical practice guidelin…

Network meta-analysis (NMA) combines direct and indirect evidence comparing more than 2 treatments. Inconsistency arises when these 2 information sources differ. Previous work focuses on inconsistency detection, but little has been done on how to proceed after identifying inconsistency. The key issue is whether inconsi…

Evidence from randomised trials and their meta-analyses is typically formed of head-to-head comparisons of a couple of treatments; multiarm trials are infrequent. However, in real-life healthcare, there are many more than two treatment options for a particular condition. To be relevant for the shop-floor of practice, e…

The success of bootstrapping or replacing a human judge with a model (e.g., an equation) has been demonstrated in Paul Meehl's (1954) seminal work and bolstered by the results of several meta-analyses. To date, however, analyses considering different types of meta-analyses as well as the potential dependence of bootstr…

BACKGROUND: The reporting of network meta-analysis in systematic reviews has increased rapidly since 2009. This qualitative study was undertaken to identify authors' perceptions of the use of these methods and of what standards for conduct and reporting should apply. METHODS: This is a survey of authors of systematic…

PURPOSE: To evaluate the methodology and reporting quality of Chinese systematic reviews and meta analysis in oral medicine. METHODS: Chinese literatures of systematic reviews and meta analysis in oral medicine were searched in the CBM, VIP, WANFANG Database and CNKI from the establishment date to August 30, 2014. Two…

Systematic reviews of well-designed trials constitute a high level of scientific evidence and are important for medical decision making. Meta-analysis facilitates integration of the evidence using a transparent and systematic approach, leading to a broader interpretation of treatment effectiveness and safety than can b…

This article develops a Bayesian approach for meta-analysis using the Dirichlet process. The key aspect of the Dirichlet process in meta-analysis is the ability to assess evidence of statistical heterogeneity or variation in the underlying effects across study while relaxing the distributional assumptions. We assume th…

Evidence synthesis, both qualitatively and quantitatively through meta-analysis, is central to the development of evidence-based medicine. Unfortunately, meta-analysis is often complicated by the suspicion that the available studies represent a biased subset of the evidence, possibly due to publication bias or other sy…

In Cox proportional hazard models with censored survival data, estimates of treatment effects with some important covariates omitted will be biased toward zero (Gail et al., Biometrika 71: 431-444). This can be especially problematic in meta-analyses that combine estimates of parameters from studies where different cov…

We address the problem of meta-analysis of pairs of survival curves under heterogeneity. Starting point for the meta-analysis is a set of studies, each comparing the same two treatments, containing information about multiple survival outcomes. Under heterogeneity, we model the number of events using an extension of the…

SUMMARY: There is an urgent and increasing demand for integrating large genotype datasets across genome-wide association studies and HapMap project for whole-genome imputation and individual-level meta-analysis. A new algorithm was developed to efficiently merge raw genotypes across large datasets and implemented in th…

One of the main objectives in meta-analysis is to estimate the overall effect size by calculating a confidence interval (CI). The usual procedure consists of assuming a standard normal distribution and a sampling variance defined as the inverse of the sum of the estimated weights of the effect sizes. But this procedure…

Today most conclusions about cumulative knowledge in psychology are based on meta-analysis. We first present an examination of the important statistical differences between fixed-effects (FE) and random-effects (RE) models in meta-analysis and between two different RE procedures, due to Hedges and Vevea, and to Hunter…

Anti-tumor necrosis factor alpha (TNF-alpha) agents have become an established treatment option for rheumatoid arthritis (RA), but are not without risks. As TNF-alpha has a role in tumour surveillance, anti-TNF-alpha blockade could potentially increase the risk of malignancy. Recent meta-analysis by Bongartz et al. (JA…

With the expanding volume of medical literature, meta-analysis, a form of systematic review, has become indispensable for clinicians for evidence-based decision making. While the number of meta-analyses has substantially increased during recent years, there are still controversial issues regarding their methodology, in…

Studies of diagnostic accuracy require more sophisticated methods for their meta-analysis than studies of therapeutic interventions. A number of different, and apparently divergent, methods for meta-analysis of diagnostic studies have been proposed, including two alternative approaches that are statistically rigorous a…